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Senior ML Validation Engineer

General Motors (GM)

Remote (Gm Automation - Sunnyvale - Gm Automation - Sunnyvale, USA) today

$144,700 - $261,300

Role Details

Job Description

The Senior ML Validation Research Engineer will lead applied machine learning research focused on improving verification and validation of ML components used in robotics and autonomous driving systems. This role centers on simulation-based evaluation, uncertainty modeling, scenario coverage automation, and transforming advanced ML research into working prototypes that enhance the efficiency, accuracy, and coverage of ML system validation.

Key Responsibilities

  • Prototype research concepts into performant tools integrated into CI/CD and large-scale validation pipelines.
  • Advance ML research for open and and closed loop simulation validation.
  • Develop scenario generation, coverage-guided testing, and rare-event discovery tooling.
  • Create robust metrics, predictors, uncertainty and Out-of-Distribution detection methods for autonomy ML systems.
  • Evaluate deep learning modules across perception, prediction, and planning in realistic sensor and traffic simulation.
  • Improve behavioral coverage and hazard-aligned metrics used in release readiness decision making.
  • Collaborate with Simulation, Safety, Systems Engineering, and cross-functional partners.
  • Author technical documentation, white papers, and contribute to validation methodology standards.

Research Focus Areas

  • Scenario synthesis (diffusion models, generative models, counterfactuals)
  • Coverage-based and fuzzing-based evaluation for autonomy behavior
  • Uncertainty estimation, calibration, conformal prediction, OOD detection
  • Robustness testing and perturbation frameworks
  • Test suite prioritization, failure mining, and regression analysis

Required Qualifications

  • MS + 5 years, or PhD + 3 years in ML, Robotics, Computer Science, or work related experience
  • Experience with simulation-driven ML evaluation for robotics/autonomy
  • Strong proficiency in Python, PyTorch/JAX/TensorFlow
  • Demonstrated ability to translate complex ML research ideas into functional prototypes
  • Experience integrating ML evaluation into CI/CD pipelines
  • Proven research impact through published work, internal tools, or patents
  • Strong communication skills and ability to collaborate cross-functionally

Preferred Qualifications

  • Experience with autonomy stacks (perception/prediction/planning).
  • Familiarity with CARLA, SVL, DriveSim, Applied Intuition, or equivalent simulation platforms.
  • Knowledge of Bayesian ML, causal inference, and sequential testing.
  • Experience with digital twin systems and sensor simulation.
  • Understanding of automotive safety standards (ISO 26262, UL 4600, SOTIF).
  • Experience building validation dashboards and scorecards connected to release criteria.

Success Criteria

  • Faster detection of ML regressions with improved test efficiency
  • Improved uncertainty and robustness metrics that support release decisions
  • Prototype tools integrated into production validation workflows
  • Tangible contributions to simulation strategy, hazard coverage, and ML confidence scoring

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

  • The salary range for this role is  $144,700- $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Software Systems Engineer, Release Reliability & Automation (Autonomous Vehicles)

General Motors (GM)

Remote (Gm Automation - Sunnyvale - Gm Automation - Sunnyvale, USA) today
Role Details

Job Description

The Role

You will be part of a core team that ensures safe, reliable, and scalable releases of the Autonomous Vehicle (AV) software stack through automation, data-driven reliability insights, and systematic validation processes. The mission is to accelerate the velocity and stability of AV releases by unifying software engineering, reliability analysis, and release automation under one cohesive framework.

In this position, you will collaborate closely with Release Engineers, Systems Engineers, DevOps, and AI/ML teams to design and implement automated release validation pipelines, build metrics for release health and stability, and drive root-cause investigations of software and system issues impacting production readiness.

If you are passionate about improving the safety, reliability, and velocity of ML-driven AV software releases through intelligent automation and systems thinking, we want to talk to you.

WhatYou’ll Be Doing

  • Design and implement automated release pipelines that integrate simulation, on-road, and CI/CD validation signals to assess software readiness.

  • Establish release reliability metrics and dashboards to quantify build quality, regression trends, and confidence of software deployment.

  • Collaborate with AI/ML, Simulation, and Systems Engineering teams to ensure robust and reproducible evaluation of release candidates.

  • Develop automated triage and failure analysis systems to identify and categorize root causes of reliability or stability regressions.

  • Integrate data pipelines for continuous monitoring of release health, including automated collection of test, simulation, and telemetry data.

  • Drive systematic improvements in release readiness criteria, defining measurable gates and pass/fail logic tied to product safety and reliability standards.

  • Develop frameworks for continuous release validation, ensuring each ML or software iteration is tracked, reproducible, and explainable.

  • Communicate insights and reliability findings to developers, QA, and leadership to influence roadmap prioritization and technical debt mitigation.

  • Map reliability and automation processes to the broader safety case framework, ensuring compliance with relevant standards and internal governance.

What You Must Have

  • Strong proficiency in Python and SQL.

  • Proven experience in CI/CD systems (e.g., GitHub Actions, Jenkins, GitLab, or equivalent).

  • Prior experience implementing ELT/ETL pipelines for quality monitoring, reliability, or release metrics.

  • Solid understanding of system reliability concepts, including regression tracking, flakiness detection, and automated triage.

  • Strong analytical, debugging, and problem-solving skills across large-scale software systems.

  • Experience integrating simulation or hardware-in-loop testing into automated pipelines.

  • Track record of cross-functional collaboration across engineering, QA, and operations teams.

  • Ability to learn quickly and operate effectively in a dynamic, high-stakes environment.

  • Excellent communication skills for presenting data-driven insights to engineering and leadership stakeholders.

  • Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent experience.

Bonus Points!

  • Experience with release governance frameworks for ML or AV systems.

  • Familiarity with reliability engineering methodologies (MTBF, FMEA, reliability growth analysis).

  • Knowledge of AV/ADAS software architectures and simulation validation loops.

  • Experience building metrics pipelines in cloud environments (AWS, GCP, or Azure).

  • Familiarity with data visualization and observability tools (Grafana, Superset, Power BI, etc.).

  • Experience using Jira, GitHub Projects, or equivalent tools for release tracking and reliability triage.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior Technical Product Operations Manager

General Motors (GM)

Remote (Gm Automation - Sunnyvale - Gm Automation - Sunnyvale, USA) today

$129,400 - $129,400

Role Details

Job Description

We are looking for a Senior Technical Product Operations Manager to own and elevate the quality, trust, and operational execution of simulated tests, with a specific focus on driving test quality metrics within TestMart and the Sim organization at large.

This role is split ~60% operational ownership and technical program management and ~40% technical deep dives, quality analysis, and metrics-driven improvements. As a team deeply embedded within the Engineering organization, we believe operational excellence can inform technical improvements to drive scalable impact, and that reflects in this role.

You will complement an already strong operational team by bringing systems thinking, technical depth, and quality rigor; while driving end-to-end accountability for simulation test quality and maintenance pipelines.

This is a hands-on IC role with significant influence across Engineering and Simulation stakeholders.

What You'll Do

Simulation Quality & Trust Ownership

  • Own the simulation maintenance workflow, ensuring tests are reliable, scalable, and production-ready
  • Act as a quality owner within the test program, driving consistency across behaviors and test types
  • Ensure all test deliveries meet defined acceptance criteria and stakeholder expectations

Operational & Program Leadership

  • Drive execution of quality-related key results, including test longevity, kickbacks, scope change workflows, and quality corrections
  • Identify operational bottlenecks and design process improvements that increase throughput, reduce rework, and improve signal quality
  • Operate with a strong bias toward actions, continuously identifying opportunities for improvement and pushing initiatives to completion

Technical Depth & System Thinking

  • Perform technical deep dives into simulation and test failures to identify root causes and systemic gaps
  • Apply systems thinking to complex Sim core issues by breaking down large, ambiguous problems into functional dependencies and actionable workstreams
  • Partner with Engineering and Simulation stakeholders to clarify requirements, validate assumptions, and influence technical decisions through data and analysis

Collaboration & Influence

  • Act as a key connector between Operations, Engineering, and Simulation teams by bridging technical details and operational execution
  • Build strong collaborations with customers and stakeholders. Manage expectations and align on priorities
  • Communicate clearly and confidently across audiences, from working-level partners to senior leadership.

Your Skills & Abilities (Required Qualifications)

  • 4+ years of experience in technical operations, product operations, technical program management, or data-driven technical roles requiring regular use of Python and SQL
  • Bachelor’s degree in Engineering, Computer Science, Data Science, Mathematics, or a related technical field or equivalent practical experience
  • Proven ability to lead complex, cross-functional initiatives without formal authority
  • Strong stakeholder management skills, including navigating ambiguity and competing priorities
  • Working proficiency in both Python & SQL for data analysis, debugging, or automation
  • Ability to independently write and modify scripts and queries to investigate simulation issues, validate assumptions, and drive quality improvements
  • Ability to understand simulation systems and technical architectures well enough to drive meaningful quality improvements
  • Strong analytical mindset with experience defining, tracking, and improving quality metrics
  • Strong collaboration and communication skills
  • Bias toward actions and continuous improvement; comfortable taking ownership and driving change
  • Ability to adjust between tactile and strategic, leveraging experience and emotional intelligence to quickly adjust as needed

What Will Give You A Competitive Edge (Preferred Qualifications)

  • Experience supporting autonomy, ADAS, robotic, or complex simulation systems
  • Experience in vendor management and communications to external partners
  • Familiarity with machine learning data operations, test quality frameworks, or simulation validation workflows
  • Comfort asking hard questions, challenging assumptions, and advocating for quality and rigor

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

  • The salary range for this role is $129,400 and $198,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

  • GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

#GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Staff Program Manager, AV PMO

General Motors (GM)

Remote (Gm Automation - Sunnyvale - Gm Automation - Sunnyvale, USA) today

$159,400 - $245,000

Role Details

Job Description

Staff Program Manager, AV PMO

Hybrid: This role is categorized as Hybrid, and the successful candidate is expected to report to the Technical Innovation Center in Sunnyvale, CA three times per week, at minimum.

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard – from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

You will join the Autonomous Vehicle (AV) Program Management Office (PMO), a core pillar responsible for driving launch readiness for AV and ADAS features across L1–L4 autonomy. Based in the heart of Silicon Valley and Michigan, our team bridges the gap between cutting-edge software innovation and world-class automotive manufacturing, driving GM’s mission of Zero Crashes, Zero Congestion

The Role

As a Staff Program Manager for the next generation of Super Cruise, you will be the primary orchestrator for the evolution of GM’s flagship autonomous driving technology. Operating out of our Sunnyvale hub, you will act as the critical link between Product Management, Technical and Vehicle Program Management, Software Engineering, Hardware Engineering, Systems Engineering, Safety, Design and all other internal stakeholders to drive the strategic goals of the AV organization.

This is a high-visibility role. You aren't just tracking tasks; you are ensuring seamless coordination across all involved teams in order to drive high-quality milestone plans, navigate complex trade-offs, and ensure on-time execution of our most advanced safety-critical systems.

What You’ll Do

  • Build trusting partnerships with Product, Program and Engineering leaders to synchronize Super Cruise development with hardware/software cycles and provide critical insights on program status, dependencies, and strategic trade-offs.
  • Draft and track Program Milestones with clear success criteria, integrating guidance from Product Requirement Documents, Vehicle Program rollout plans, and company-wide software release schedules.
  • Own the Program Risk Register and coordinate the resolution of critical bottlenecks; proactively identify systemic risks early and facilitate the development of robust mitigation plans.
  • Lead recurring Program, Risk, and Milestone Reviews while acting as a PMO SME to coach and guide peers on industry best practices, GM-specific processes and professional excellence.
  • Manage the centralized Jira Align/Jira/Confluence ecosystem and facilitate the adoption of new operational rhythms to provide executive-level reporting and data-driven insights to senior leadership.
  • Forecast resource needs and ensure all workstreams strictly comply with necessary standards and safety-critical software development practices.
  • Ability to occasionally travel to Michigan locations (Warren Technical Center and Milford Proving Ground) if needed.

Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Engineering, Computer Science, or a related technical field, or equivalent experience.
  • 10+ years of relevant experience in (Technical) Program Management or Engineering in the Tech, Automotive or Aerospace industry.
  • 5+ years leading AV programs driving incremental delivery from inception to launch.
  • Technical fluency in AV/ADAS platforms, including familiarity with AI-based driving models, simulation, validation, sensors, compute, infrastructure and operations.
  • Expertise in agile and waterfall methodologies; fluent with tools like Jira, Jira Align, Confluence, and Microsoft 365.
  • Experience working on software and hardware delivery within Automotive OEM vehicle development processes.
  • Capacity to thrive in a fast-paced, dynamic environment and effectively manage competing priorities.
  • Exceptional communication, interpersonal, and presentation skills with a proven track record of driving alignment among senior executive stakeholders and inspiring diverse, cross-functional teams to deliver change through influence without direct authority.
  • Ability to travel and operate a motor vehicle on a regular basis.

What Will Give You a Competitive Edge (Preferred Qualifications

  • Master’s degree in Engineering or MBA.
  • Experience with Software-Defined-Vehicle architectures.
  • Familiarity with systems engineering principles, validation cycles, and safety standards relevant to autonomous domains.
  • Background in scaling operational systems and processes to support evolving technology roadmaps and launch targets.
  • Understanding of GM’s GxDP (Global Vehicle/Software Development Process).
  • Experience managing to GM’s VeSCoM (Vehicle Software Control Management) timing and Program Increments (PI).
  • PMP, CSM, SAFe, Six Sigma, ISO 26262 or similar certifications.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

  • The salary range for this role is $159,400 to $245,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

LI-LL2

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Staff Cybersecurity Engineer

General Motors (GM)

Remote (Gm Global Technical Center - Michigan It Innovation Center, USA) today
Role Details

Job Description

The Role:

We’re looking for a senior, self-driven Cyber Security Engineer to own the strategy, design, implementation, and operation of our enterprise PKI and secrets management capabilities. This role is accountable for how trust, identity, and secure access are established and enforced across the enterprise, and for ensuring these foundations scale with the business.
You will operate as a technical leader and subject-matter expert, partnering with senior engineering and security leaders to define long-term direction, set standards, and drive adoption. You should thrive in a fast-paced, agile environment—comfortable making high-impact decisions, navigating ambiguity, and rapidly adapting as technologies and requirements evolve.

What You’ll Do:

  • Setting the technical vision and architecting, implementing, and operating scalable, highly available PKI and secrets management services for the enterprise.
  • Owning design decisions that shape internal trust models, cryptographic architectures, and access patterns for the most sensitive data and systems.
  • Defining, implementing, and continuously improving policies, processes, and controls for the full lifecycle of keys, certificates, and secrets across diverse platforms.
  • Influencing and aligning engineering, infrastructure, and leadership teams to deliver robust, observable, and compliant cryptographic systems.
  • Mentoring and developing engineers, raising the bar for technical excellence, and driving consistent best practices for cryptographic and secrets management across the organization.
  • Advising senior leadership on long-term security architecture strategy, trade-offs, and investment priorities related to identity, PKI, and secrets management.
  • Providing operational leadership, including participation in on-call rotations for global, mission-critical services and driving post-incident improvements.
  • Leading HSM strategy, including architecture, platform selection, appliance consolidation, and multi-year roadmap planning in alignment with enterprise security and compliance goals.

Your Skills & Abilities (Required Qualifications):

  • Bachelor’s degree in Computer Science, Mathematics, Physics, or equivalent senior-level industry experience.
  • 7+ years experience in enterprise security engineering or Site Reliability Engineering (SRE), with direct responsibility for high-availability security or cryptographic services.
  • 7+ years experience with enterprise secrets management platforms (e.g., HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, BeyondTrust), including architecture, operations, and integration at scale.
  • Strong understanding of public-key cryptography, PKI, and modern cryptographic protocols, with the ability to make pragmatic, risk-informed design decisions.
  • Demonstrated experience designing, operating, and evolving production PKI systems (root and issuing CAs, CRL/OCSP, certificate lifecycle, and policy governance).
  • Proficiency with infrastructure-as-code (e.g., Terraform) and engineering practices that enable repeatable, auditable, and secure deployments.
  • Working knowledge of major cloud platforms (AWS, GCP, Azure) and how to integrate PKI and secrets management with cloud-native services.
  • Experience with containerization, orchestration (e.g., Kubernetes), and CI/CD workflows, including secure delivery patterns and secrets handling.
  • Excellent communication skills, with a track record of presenting complex technical concepts, trade-offs, and recommendations to engineering and executive audiences.
  • Strong threat modeling and security architecture skills, with the ability to anticipate abuse cases and design for resilience.
  • Hands-on management, integration, and configuration experience with HSM platforms (Entrust, Thales, etc.), including key ceremonies, partitioning, and role design.
  • Experience working with and implementing security standards and frameworks (e.g., FIPS 140-2/3, PCI-DSS, and related controls), and translating them into actionable technical requirements.

What Will Give You A Competitive Edge (Preferred Qualifications):

  • HashiCorp Vault certification or clearly demonstrable expert-level proficiency with Vault in complex, production environments.
  • Deep expertise in HashiCorp Vault and Terraform, including multi-tenant architectures, performance optimization, and automation of large-scale deployments.
  • Experience scaling backend systems and implementing secure hardware solutions (HSM, TPM, TEE, etc.) in high-availability, regulated environments.
  • Familiarity with modern authentication and authorization protocols (OAuth 2.0, OIDC, WebAuthn/FIDO2, Zero Trust architectures) and how they integrate with PKI and secrets management.
  • Experience with remote attestation, secure enclaves, and hardware-backed key protection in cloud or hybrid environments.
  • Proficiency in at least one modern programming language (e.g., Go, Rust, Python, Node.js) for building integrations, tooling, and automation around cryptographic and secrets platforms.
  • Demonstrated passion for security, rigor, and correctness, with a strong bias toward automation, measurable outcomes, and operational excellence.

LI-SB3

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Staff Systems Configurator, SAP Functional Analyst

General Motors (GM)

Remote (Gm Global Technical Center - Michigan It Innovation Center, USA) today
Role Details

Job Description

General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation. Our Software Services team is on the forefront of this work, emboldening our culture by seeking out determined, innovative individuals who will join our team to help move us forward and achieve our mission.

The General Motors Global IT Organization is seeking to identify highly motivated and qualified individuals for potential future opportunities as a Staff Systems Configurator – SAP Functional Analyst (Level 8 individual contributor) to design, configure, and support SAP solutions that enable our end-to-end value chain across:

  • Source-to-Deliver / Source-to-Pay (Supply Chain & Direct Material Sourcing and Procurement for Automotive)

  • Make-to-Ship (Manufacturing & Plant Operations)

  • Order-to-Delivery (Order Management & Distribution)

This requisition is intentionally broad across SAP specialties, including but not limited to SD, FI-CO, MM, PP, WM, EWM, Ariba Direct Material Sourcing and Procurement for Automotive, and S/4HANA. You do not need experience in all of the areas listed; we are seeking strong SAP talent across one or more of these modules and encourage candidates to apply even if their expertise is focused in specific domains.

This role is scoped as a Level 8 expert individual contributor in the Systems Configurator job family, leading complex, multi-team SAP initiatives and setting functional direction in partnership with Senior (Level 7) Systems Configurators.

Location: Warren, MI or Austin, TX

The Role

As an SAP Functional Analyst, you will collaborate with cross-functional teams in Product Lifecycle Management, Global Purchasing & Supply Chain (GPSC), Manufacturing, Logistics, and Order Management to gather requirements and to design, configure, and support SAP solutions that meet business needs across the Source-to-Deliver, Make-to-Ship, and Order-to-Delivery spaces.

You will implement scalable SAP processes, ensure solutions align with industry best practices and GM’s IT Solution Delivery Methodology, optimize business operations, support and extend SAP modules, drive process improvements through automation and standardization, and help design and build new SAP-based landscapes that transform how work is done today. At the staff level, you will also own the functional roadmap for your domains, lead design decisions that span multiple product teams, and act as the primary advisor to leaders on SAP capability and process strategy.

You will:

  • Translate business needs into robust, integrated SAP configurations and functional designs.

  • Optimize business operations in areas such as Order Management, Pricing, Billing, Supply Chain, Logistics, Direct Material Sourcing & Procurement, Purchasing, Production Planning & Execution, Warehousing, and Master Data.

  • Support GM’s journey to S/4HANA and SaaS-first solutions, helping rationalize and modernize the SAP and surrounding application landscape.

  • Define and champion SAP configuration standards, patterns, and guardrails for Senior (Level 7) and mid-level Systems Configurators across your functional domains.

  • Provide final functional sign-off for high-risk or high-impact changes, balancing stability, scalability, and speed of delivery.

What You’ll Do

  • Lead SAP configuration and solution design for core business processes such as Order to Cash, Procure to Pay, Production Planning & Execution, and related workflows. This includes ownership of complex, cross-functional initiatives that span multiple SAP products, regions, or business units.

  • Oversee financial postings, cost allocations, and supplier collaboration as they relate to your SAP functional domains.

  • Support sourcing, procurement, supplier management, production planning, logistics, inventory control, warehouse management, and goods movement processes.

  • Collaborate with business stakeholders, analysts, and technical teams to gather requirements and deliver SAP solutions that are scalable, secure, and aligned with GM standards. Influence prioritization and trade-offs across teams to ensure solutions advance key GM objectives, not just local optimizations.

  • Participate in testing, validation, and deployment of SAP enhancements and new functionalities; ensure strong end-to-end process validation. Drive the overall test strategy for your domains and ensure appropriate use of automation and regression testing.

  • Support integration of SAP with external systems, partnering with integration and infrastructure teams.

  • Help evaluate and rationalize the existing manufacturing, supply chain, and order management application landscape, determining which solutions are integrated with, absorbed into, or retired in favor of SAP S/4HANA and related SAP SaaS solutions.

  • Participate in SAP upgrades, migrations, and digital transformation initiatives, including S/4HANA and cloud/SaaS adoption. Serve as a key decision-maker on fit-to-standard vs. extension, aligned with GM’s clean core strategy.

  • Apply standard SAP functionality to meet business needs, minimizing custom development while still addressing critical gaps via RICEFW objects.

  • Contribute to application management and production support, including issue triage, root-cause analysis, and continuous improvement in your functional areas. Act as the top functional escalation point for complex incidents and systemic issues.

  • Create and maintain process documentation, configuration guides, and training materials to support adoption and reuse.

  • Mentor junior team members and promote best practices in SAP solution delivery, testing, and operations. Systematically coach Senior Systems Configurators and other team members, building depth and succession in critical SAP domains.

  • Adhere to organizational IT standards, security protocols, and industry best practices, including relevant regulatory and internal control requirements. Proactively identify control gaps and drive remediation in partnership with Risk, Compliance, and Audit teams.

Your Skills & Abilities (Required Qualifications)

  • Bachelor’s degree in a relevant field (e.g., Computer Science, Information Technology, Engineering, Business Computing, Information Systems, Supply Chain) or equivalent experience.

  • Extensive hands-on SAP experience, including configuration of one or more relevant modules, for example:

  • SD Order Management, Pricing, Billing, Order-to-Cash.

  • FI-CO integration with Supply Chain, Manufacturing, or Order Management.

  • MM, WM, EWM procurement, inventory, warehouse, and logistics execution.

  • PP / Manufacturing production planning and execution, plan-to-produce.

  • DMe/DMC SAP Digital Manufacturing or other digital manufacturing solutions, and integration with plant-floor and logistics systems.

  • Ariba Direct Material Sourcing and Procurement for Automotive.

  • S/4HANA functional configuration and extensibility.

  • Proven track record leading end-to-end SAP solution delivery for complex programs (e.g., multi-release roadmaps, large deployments, S/4 migrations, or significant new capability introductions).

  • Strong understanding of SAP principles and extensibility approaches, including how to design upgrade-safe, cloud-compliant solutions.

  • Solid business process knowledge in areas such as Order Management, Pricing, Billing, Supply Chain, Logistics, Direct Material Sourcing & Procurement, Purchasing, Production Planning, Warehousing, and Master Data.

  • Experience supporting integration with other SAP modules and external systems, including familiarity with common interface technologies (e.g., IDocs, APIs, middleware).

  • Familiarity with software testing, automation, and quality assurance practices; ability to define and execute test plans and support automated/regression testing.

  • Ability to debug and analyze SAP systems, preferably with some ABAP knowledge to support issue analysis and collaboration with development teams.

  • Demonstrated analytical and problem-solving skills, with a structured approach to diagnosing issues and proposing options.

  • Strong commitment to continuous improvement, teamwork, and integrity, including willingness to learn new SAP and cloud capabilities.

  • Ability to set direction for a functional area, influence architecture and product roadmaps, and make sound trade-off decisions.

What Will Give You a Competitive Edge (Preferred Qualifications)

  • SAP certification in one or more relevant modules (e.g., SD, MM, PP, WM/EWM, FI-CO, Ariba, S/4HANA).

  • Experience with SAP Automotive Suite or similar industry-specific solutions supporting OEMs, suppliers, or complex manufacturing.

  • Familiarity with the SAP Integrated Tool Chain – including Signavio (process modeling), SAP Cloud ALM (CALM), and Tricentis (Tosca) – as well as SAP Fiori and SAP BTP, especially for cloud-based SAP extensions and integrations.

  • Exposure to SAP AI / analytics capabilities and apply analytics/AI in manufacturing, supply chain, or order management use cases.

  • Experience with EDI transaction sets (ANSI X12, EDIFACT) and related communication protocols, and/or other integration platforms (e.g., SAP PI/PO, SAP Integration Suite, Sterling, Connect Direct).

  • Background working with manufacturers, suppliers, or service providers, ideally in automotive or complex discrete manufacturing environments.

  • Prior consulting experience or working with global stakeholder groups, including experience in regulated environments (e.g., SOX, internal controls, legal/tax requirements).

  • Demonstrated ability to represent your functional area in senior-level forums (e.g., steering committees, enterprise design councils) and to influence outcomes across organizations without direct authority.

Hybrid

This role is categorized as hybrid. The successful candidate is expected to report to Warren, MI or Austin, TX, three times per week, at minimum, or as dictated by business needs.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior Robotics Engineer (Dynamics and Controls)

General Motors (GM)

Remote (Mountain View Technical Center - Mountain View Technical Center, USA) today

$158,000 - $241,900

Role Details

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role Overview

As a Senior Software Engineer (Dynamics and Controls), you will be a senior individual contributor in the Local Planner Controller team within Embodied AI. We formulate and solve optimization problems online, considering kinematic feasibility, collision avoidance, and ride comfort. In this role, you will provide cross-functional technical leadership for vehicle dynamics, estimation and controls systems used in GMs Super Cruise system. You will contribute to vehicle dynamics and controls software, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable autonomy capabilities that meet company goals.

You will:

  • Drive feature development for vehicle dynamics and controls software deployed to GMs Super Cruise system.
  • Architect and implement system designs and interface contracts with perception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.
  • Lead technical reviews and drive software engineering best practices across the team and the larger organization.
  • Contribute to Active Safety, Driver Assistance, and Super Cruise.
  • Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.
  • Partner with Safety, Systems Engineering, and Product to generate requirements for onboard systems.
  • Lead root-cause investigations for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance
  • Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
  • Help define, build, and embody GM engineering culture and principles.

You have:

  • Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
  • 3+ years of experience in motion planning or related field
  • Deep understanding of optimal controls and trajectory optimization algorithms
  • Good grasp of classical and modern feedback control theory and techniques
  • Solid understanding of vehicle dynamics
  • A demonstrated track record of building high quality autonomous software systems
  • Deep expertise in Planning and Controls system design
  • Experience with C++/Python in a large, distributed development environment
  • Strong organizational and communication skills
  • Passion for self-driving technology and its potential impact on the world

Bonus points:

  • A background in robotics, ROS, or the AV/ADAS industry
  • Experience in numerical optimization algorithms
  • Experience designing software applications for safety critical systems
  • Experience building and managing engineering teams

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

  • The salary range for this role is $158,000.00 to $241,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits.  

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Principal ML Tech Lead Manager - Embodied AI Onboard Autonomy

General Motors (GM)

Remote (Gm Automation - Sunnyvale - Gm Automation - Sunnyvale, USA) today

$296,300 - $423,900

Role Details

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.  Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

We are looking for a Principal Technical Lead Manager (TLM) to lead the Trajectory Generation team within the Embodied AI organization. This role combines deep technical leadership in machine learning and robotics with people leadership and organizational impact. Trajectory generation is one of the most critical components of an autonomous driving system. It is responsible for producing the precise vehicle motion plans that determine how the car moves through the world — lane changes, merges, turns, yielding, obstacle avoidance, and complex interactions with other road users. Every decision ultimately manifests as a trajectory executed by the vehicle.

As the leader of this team, you will shape the algorithms and ML systems that translate sensor inputs into safe, smooth, and human-like driving behavior across diverse real-world scenarios. You will lead a high-performing team of engineers building ML-driven trajectory generation systems, and drive the roadmap that takes these models from research to production deployment on vehicles. This role requires someone who can set technical direction, mentor senior engineers, and lead large cross-functional initiatives, while remaining deeply involved in the technical architecture and modeling strategies.

What You'll Do:

  • Define and drive the technical vision and architecture for trajectory generation systems used in autonomous driving.
  • Lead the development of ML-based trajectory generation models capable of handling complex and dynamic driving environments.
  • Architect scalable training pipelines using large-scale driving datasets and simulation environments.
  • Guide the integration of trajectory generation models into real-time onboard systems with strict latency and safety requirements.
  • Influence the design of next-generation embodied AI architectures for driving.
  • Mentor senior engineers and help develop the next generation of technical leaders.
  • Raise the bar for engineering excellence, modeling rigor, and production-quality systems.
  • Foster a culture of innovation, ownership, and collaborative problem solving.
  • Lead complex technical initiatives spanning multiple teams across the autonomous driving stack.
  • Collaborate closely with teams working on: data, perception, simulation, safety validation, onboard systems.
  • Define roadmaps and priorities aligned with product milestones and safety goals.
  • Drive solutions from research prototypes through production deployment.

Your Skills & Abilities:

  • MS or PhD in Computer Science, Robotics, Machine Learning, or related field.
  • Experience leading technical teams delivering production ML systems.
  • Deep expertise in one or more areas: robotics planning and control, imitation learning or reinforcement learning, generative models, large-scale machine learning systems
  • Strong software engineering skills (Python, C++, or similar).
  • Experience deploying ML models into real-world or safety-critical environments.
  • Demonstrated ability to define architecture and drive large technical initiatives across teams.

Preferred Qualifications

  • Experience with autonomous driving, robotics, or embodied AI systems.
  • Background in trajectory planning, motion planning, or behavior modeling.
  • Experience with large-scale training infrastructure and distributed ML pipelines.
  • Experience with simulation-based training or evaluation of driving policies.

Remote/Hybrid:  This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

  • The salary range for this role is $296,300.00 to $423,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job may be eligible for relocation benefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

LI-CX1

GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior AI/ML Engineer, Build Platform

General Motors (GM)

Remote (Mountain View Technical Center - Mountain View Technical Center, USA) today

$170,000 - $240,000

Role Details

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to the office in [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale] a minimum of 3 days per week. This position can be considered Remote if the successful candidate is in the Seattle, Washington area.

About Us

The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.

The Role

We are looking for a Senior Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.

The Team

Build Platform owns creating the build system and tooling that supports our AV and AI developers.  We use Bazel in front of an in-house Remote Bazel Executor (RBE) and Content Addressable Storage (CAS) to provide a premier build experience at Cruise.  Our team is constantly on the lookout for optimizations and new tooling that improves our product.  GM AI developers are heavy users of Python and Docker.  The speed at which they can iterate directly impacts the rate at which our AVs improve.  The tooling and workflows that Build Platform provides are central to the productivity of our AI developers.  Improvements in this space quickly lead to enormous impact for Cruise.

The way this engineer will deliver impact may vary depending on the situation but they will be expected to deliver complete solutions to existing problems from ideation to production and effectively communicate with stakeholders.

What You’ll Do (Responsibilities)

  • Design and implement improvements to our Python development ecosystem and workflows, which have a measurable and direct impact on engineering productivity.

  • Collaborate with engineers across the company to understand and support their development workflows.

  • Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs.

  • Lead complex projects that span teams, with many partners and customers.

  • Effectively participate in planning, code reviews, and design discussions.

  • Contribute impactful projects to the team’s roadmap.

  • Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts and where your contribution is highly visible.

  • Drive software engineering best practices both within our team and across engineering.  Create tooling that encourages and supports these practices.

  • Mentoring and up-leveling other engineers on the team.

  • Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting activities.

  • Be a positive contributor to our team culture.

Minimum Qualifications (Must-Have)

  • 3+ years of experience leading and driving large-scale, cross-team initiatives

  • Bachelors Degree in Computer Science or related field or equivalent work experience

  • Experience working on developer tooling, Python, docker, etc.

  • Experience leading projects across multiple teams

  • Attention to detail, and a desire to improve processes & systems around you

  • Deep understanding of the business and operational impact for different technology tradeoffs

  • Passionate about self-driving technology and its potential impact on the world

Preferred Qualifications (Nice-to-Have)

  • 5+ years experience designing, building, and operating production systems at scale in the cloud

  • Experience programming with C++ or Go

  • Experience with compilers (clang, gcc, nvcc, etc)

  • Experience with build systems such as Bazel or Buck

  • Experience with cloud infrastructure

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  

  • The salary range for this role: is $170,000 to $240,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Senior Software Engineer

General Motors (GM)

Remote (Gm Global Technical Center - Sloan Engineering Center, USA) today
Role Details

Job Description

Work Arrangement:

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI or Milford, MI three times per week, at minimum.

The Role:

We are seeking a highly skilled and experienced Senior Software Engineer to join our innovative team at General Motors. In this role, you will be instrumental in developing, validating, and deploying robust software solutions that drive our cutting-edge automotive technologies.  The primary focus of this role is responsible for developing and maintaining an agnostic tool chain that supports multiple GM vehicle architectures.  This role will maintain and extend the Autobot tool chain, ensuring reliable and scalable execution for automated workflows. They will take technical ownership of physical interface simulation devices, driving design, integration, and ongoing support. Success in this role requires a strong understanding of embedded controllers and complex vehicle scenarios with the ability to faithfully translate them into lower-level simulated environments for testing and validation.

What you'll do:

  • Extend and harden the Autobot tool chain and runners to ensure reliable, scalable execution of automated workflows and regression suites.
  • Design, develop, and maintain an agnostic tool chain that supports multiple GM vehicle architectures and software stacks.
  • Own the full lifecycle of physical interface simulation devices, including concept, design, configuration, integration, documentation, and long-term support.
  • Develop and maintain low-level simulation environments that accurately mirror embedded controllers and vehicle networks for repeatable testing.
  • Model complex vehicle scenarios and use cases and translate them into automated, lower-level simulations for validation and debug.
  • Collaborate with embedded controls, validation, and architecture teams to understand requirements and integrate the tool chain into their workflows.
  • Monitor, troubleshoot, and optimize tool chain performance, including build, deployment, and execution reliability across multiple environments.
  • Implement and maintain automated CI/CD and validation pipelines leveraging the Autobot tool chain and simulation infrastructure.
  • Ensure robust test coverage and traceability for embedded software changes using the simulation and tool-chain infrastructure.
  • Create and maintain technical documentation, standards, and best practices for using the tool chain and simulation devices.
  • Provide technical guidance and support to internal users, including onboarding, training, and advanced troubleshooting of the tools and simulations.
  • Continuously evaluate and integrate new technologies (hardware and software) to improve simulation of fidelity, performance, and developer productivity.
  • Analyze software test metrics to identify trends, potential issues, and areas for improvement in our development processes.
  • Ensure high data integrity across various software systems and applications, implementing strategies for data integrity and consistency.
  • Collaborate with stakeholders to determine requirements for electrical charge testing, translating business needs into technical specifications.

Your Skills & Abilities (Required Qualifications)

  • Bachelors of Science in Engineering or Computer Science w/ preferred focus in Electrical, Computer Systems, Mechanical, Aero, Computer Science
  • Minimum 5-7 years of development and integration experience
  • Hands-on leadership expertise with in-depth knowledge of vehicle system functionality
  • Proven program launch execution experience (you have launched something to production)
  • 3 - 5 years experience with automated testing & frameworks
  • Strong experience with embedded software development and/or controls development in a real time environment
  • Strong python development skills and ability to work within RTOS
  • Proficiency within version-controlled systems, CI/CD pipeline
  • Comfortable with ambiguity as we build something for the first time
  • Ability to translate between physical interfaces and software

What Will Give You A Competitive Edge (Preferred Qualifications)

  • Understanding of Vehicle Electrical Charging Architecture and Subsystem configurations
  • Knowledge of Vehicle Charging level specifications and requirements for new systems.
  • Proven experience with Robot Framework, JIRA and JIRA X-Ray, and Confluence
  • Experience related to data visualization and understanding data driven results
  • Linux, Android and / or QNX user level experience
  • Previous experience with manual and automated testing
  • Deep experience with existing software tools such as but not limited to KeySight / IntrepidCS / NeoVI  / RadMoon / Gigastar, Robot Framework, WireShark
  • GM organizational aptitude and experience with IRTs, SW VSEs, and PLSIE roles

Additional Information:

This position may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

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