Job Description

We are seeking a Staff Systems Engineer to join the Vehicle Systems Engineering organization, focused on Low Voltage (LV) vehicle systems, supporting the new Software-Defined Vehicle (SDV) architecture and 12V system design thinking across the vehicle. This role operates in a highly complex technical space with significant cross-domain dependencies spanning software, hardware, electrical architecture, validation, and virtual environments.

The ideal candidate is comfortable working in ambiguous problem spaces, can navigate evolving requirements, and is able to establish themselves as a technical leader by driving clarity, alignment, and robust system solutions. You will translate high-level product intent into scalable, testable system architectures using Model-Based Systems Engineering (MBSE), while influencing technical direction across programs and organizations, including helping shape and influence future SDV and Low Voltage (LV) architecture direction.

What You’ll Do:

• Lead system-level architecture, definition, and integration of Low Voltage vehicle systems using MBSE.
• Decompose product and program intent into system models, functional architectures, and testable software and hardware requirements.
• Develop and maintain system blueprints, including functional decomposition, logical architectures, interface definitions, requirements, allocations, and FMEAs.
• Own and evolve MBSE artifacts, such as functional models, use-case, activity, sequence, and context diagrams.
• Allocate and partition system functionality across multiple implementation teams, supporting architectural trade studies and optimization.
• Define and maintain co-simulation and virtual validation strategies, including simulation architectures and acceptance criteria.
• Work closely with software, hardware, validation, electrical architecture, and platform teams to manage complex interdependencies and integration risks.
• Support system integration, calibration, validation, and issue resolution, including root cause analysis across domains.
• Ensure system designs meet safety, regulatory, quality, and performance requirements, supporting certification and approvals.
• Drive continuous improvement in MBSE adoption, modeling quality, and virtual validation capability.
• Clearly document technical decisions, trade-offs, and deliverables across the product lifecycle.

Key Responsibilities

• System architecture definition and modeling using MBSE
• Functional decomposition and end-to-end requirement traceability
• Managing change, dependencies, and architectural allocation using system models
• Co-simulation strategy and system-level validation planning
• Definition of acceptance criteria and “definition of done” for system deliverables
• Providing technical leadership in complex, cross-functional environments, fitting well with technical expectations for system integration, fault strategy ownership, and architectural influence

Core Technical Capabilities

• 12V electrical system architecture, including power distribution, grounding, protection, and load management.
• Understanding of vehicle LV networks and ECUs (body, gateway, chassis, infotainment-adjacent, and domain controllers).
• Experience with fusing strategies, wake/sleep management, power modes, and energy budgeting.
• Knowledge of CAN, LIN, Ethernet, and diagnostics (UDS) as they relate to LV system behavior and dependencies.
• Familiarity with SDV concepts, including centralized compute, service-based architectures, and decoupling software from hardware.
• Ability to analyze and resolve system-level issues related to voltage stability, current limits, transient behavior, and fault propagation.
• Experience with system-level FMEAs, fault handling strategies, and graceful degradation in LV systems.
• Understanding of integration between LV systems and higher-voltage domains (e.g., HV interactions, wake coordination, safety states).
• Experience supporting system validation, including HIL/SIL, vehicle testing, and virtual validation approaches.
• Strong systems thinking across electrical, software, and functional domains to manage complex dependencies.

Your Skills & Abilities (Required Qualifications):

• Bachelor's degree in engineering (Systems, Electrical, Software, Mechanical, or related field).
• 7+ years of experience in systems engineering or software-intensive automotive development.
• Strong expertise in systems architecture, MBSE, requirements development, integration, and validation.
• Solid background in model-based development and virtual simulation.
• Experience defining and managing system interfaces, performance targets, and validation/testing strategies.
• Proficiency with MBSE and requirements tools (e.g., Rhapsody, DOORS / DOORS Next).
• Demonstrated ability to operate effectively in ambiguous problem spaces and drive clarity.
• Proven track record of technical leadership, influence, and cross-organizational collaboration.
• Strong prioritization, execution, and stakeholder management skills.
• Excellent written and verbal communication skills.

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

• Master’s degree in engineering or related field.
• Advanced experience with MBSE, including Rhapsody modeling (activity, use-case, sequence, context).
• Familiarity with Agile / SAFe development methodologies.
• Understanding of service-oriented architectures (SOA).
• Knowledge of CI/CD and continuous testing in software-intensive systems.
• Experience working in highly interdependent system architectures with multiple stakeholders.
• Exposure to reliability engineering, functional safety, and regulatory compliance.

LI-JK3

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 is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

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.

Job Description

The Role

You will be part of a core reliability team responsible for ensuring safe, stable, and scalable Autonomous Vehicle (AV) software releases by turning failures into actionable insight at scale. The mission of this role is to improve learning velocity from failures, reduce reliability escapes, and increase confidence in production readiness through intelligent triage, deep debugging, and data-driven analysis.

This role is reliability-first. Release automation, CI/CD, and validation infrastructure are tools—not the goal. You will work across simulation, CI, and on-road environments to ensure failures are correctly understood, consistently categorized, and rapidly connected to the right solution space.

You will collaborate closely with AI/ML engineers, Systems Engineering, Test Platform owners, Release Engineers, and Safety stakeholders to ensure reliability signals meaningfully influence engineering priorities and release decisions.

If you are passionate about reliability engineering, failure analysis, and building systems that help organizations learn faster from complex ML-driven software, we want to talk to you.

What You’ll Be Doing

• Own the reliability triage framework for the AV software stack, defining how failures from simulation, CI, and on-road validation are detected, categorized, and escalated into actionable insights.
• Perform deep debugging and root-cause analysis across autonomy software, ML pipelines, and system integrations, connecting failure symptoms to clear solution paths and corrective actions.
• Design and evolve automated triage mechanisms and reliability taxonomies, improving regression detection, flakiness identification, and signal quality as the system and models evolve.
• Build and govern reliability data pipelines, providing continuous visibility into stability trends, recurrence patterns, and systemic risks that impact release readiness.
• Translate reliability findings into decision-grade communication, influencing prioritization, technical debt reduction, and release confidence in partnership with engineering, safety, and systems stakeholders.

What You Must Have

Strong proficiency in Python and SQL for automation, analysis, and data pipelines
Proven experience with CI/CD systems (GitHub Actions, Jenkins, GitLab, or equivalent)
Hands-on experience implementing ETL/ELT pipelines for reliability, quality, or system health monitoring
Solid understanding of reliability engineering concepts, including regression tracking, flakiness detection, and failure classification
Strong analytical and cross-stack debugging skills in large-scale software systems
Experience integrating simulation, HIL, or system-level test signals into automated analysis workflows
Track record of effective cross-functional collaboration across engineering, QA, and platform teams
Ability to operate autonomously in high-ambiguity, safety-critical environments

• Excellent communication skills for presenting data-driven reliability insights to engineering and technical leadership

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

Bonus Points

Experience with reliability governance in ML-based or AV systems
Familiarity with reliability methodologies (FMEA, reliability growth analysis, MTBF trends)
Knowledge of AV / ADAS software architectures and simulation-to-road validation loops
Experience building reliability or analytics pipelines in cloud environments (AWS, GCP, Azure)
Familiarity with observability and visualization tools (Grafana, Superset, Power BI, etc.)

• Experience using Jira, GitHub Projects, or similar tools for reliability tracking and triage workflows

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 $123,200 to $189,100. 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

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.

Job Description

About the Team:

The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We’re proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers.

We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We’re committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while maintaining reliability and cost efficiency.

About the Role:

We are looking for a Senior Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You’ll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.

This is a hands-on engineering role that requires a strong background in distributed systems, infrastructure, and a product mindset with a keen eye for user experience.

Your Skills & Abilities (Required Qualifications)

• Design core platform backend software components

• Experience cloud platforms like GCP, Azure

• Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa

• Analyze and improve efficiency, scalability, and stability of various system resources

• Proactively identify, drive and design large initiatives across GM ML ecosystem

At a Minimum We'd Like You To Have

• 5+ years of industry experience\

• Expertise in either Go, C++, Python or other relevant coding languages

• Strong background with kubernetes at scale

• Relevant experience building large-scale with distributed systems

• Experience leading and driving large scale initiatives

• Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services

What Will Give You a Competitive Edge (Preferred Qualifications)

• Hands-on experience in ML platforms

• Experience with GPU/TPU optimizations

• Experience with training frameworks like PyTorch, TorchX

• Experience with Ray framework

• Leadership/active participation in the open source community

• Experience infrastructure applications or similar experience

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 $155,420 to $395,900. 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.

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.

Relocation: This job may be eligible for relocation benefits.  

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

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.

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.

About the Organizations:

The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation organization holds end-to-end accountability for every capability and feature spanning the autonomy software system. The SAFE-ADS team is responsible for internal and external Safety Assurance processes, claims, accumulation of evidence, reporting and response to inquiries for GMs Automated Driving Systems.  

The Role

In this Technical Program Manager (TPM) position, you will play a critical role at the interface between the Autonomous Vehicle (AV) Software Validation team and the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) team within GM’s Global Product Safety, Systems and Certification organization. You will work cross-functionally to develop industry leading AV quantification methods, scale them in software for near-term AV program validation as well as to provide long term GM AV safety monitoring, reporting and incident response. You will work cross functionally to integrate workstreams, define clear milestones, de-risk dependencies, drive alignment, and execute projects efficiently.

The ideal candidate is both technical and execution-driven, builds trust and confidence with partners quickly, and has experience in safety and AV software verification and validation.

What You'll Do

• Lead TPM execution for validation metrics development and implementation, including human benchmarking, and counterfactual modeling. This also includes scaling strategy.

• Partner with AV safety, software validation systems engineering, and other cross functional technical leads to translate engineering work into project definitions, roadmaps, timelines, resourcing, and cost plans to efficiently execute program milestones.

• Drive execution, risk management, and governance for critical-path projects, enterprise safety initiatives, and incident response by proactively identifying and mitigating technical/program risks, building strong relationships with internal and external stakeholders, defining and tracking KPIs and validation milestones, and leading program reviews with technical and executive leaders.

• Responsibilities also include facilitating standards and best-practice synthesis, external collaborations, data collection campaigns, engineering and computational model development, metric design, and scaling models/metrics/targets via cross-functional cloud-based pipelines and interactive visualizations.

Your Skills & Abilities (Required Qualifications)

• BS or MS in Mechanical Engineering, Computer Science, Vehicle Engineering or a related technical field

• 8+ years of engineering experience with a minimum of 3 years of technical program management experience

• Demonstrated experience in cloud-based data storage and data processing, including optimization for continuous availability, speed, and cost.

• A track record of successfully managing technically complex, cross-functional programs in development and scaling to production

• Strong systems thinking with ability to expose and mitigate risks

• Excellent communication skills, capable of switching between high-level leadership summaries and detailed technical discussions

• Ability to adapt and operate under ambiguity

• Familiarity integrating agile program delivery and waterfall method -  Jira, Confluence, Smartsheet, and technical development workflows

What Can Give You a Competitive Advantage (Preferred Qualifications)

• 3+ years of TPM emphasizing safety critical technical systems

• Demonstrated experience in AI/ML, robotics, or autonomous systems

• Experience in safety critical technical systems

• Exposure to verifying and validating software and systems

• Ability to develop, inspire and motivate team

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.

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.

Relocation: This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

LI-RF1

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}.

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.

Job Description

The Role:

We are seeking a high performing, self-driven Senior Systems Engineer to lead the feature and system design for the Charging Consumer Electronics domain. This role requires strong cross functional collaboration across engineering, product, program, software, HW, HMI, design, safety, and validation teams. The Senior Systems Engineer is accountable for defining end to end feature and system requirements, , performance targets, and ensuring delivery meets customer expectations, regulatory requirements, technical feasibility, across all program milestones.

What You'll Do:

• Decomposition of product requirements into feature-level and system-level testable requirements.
• Define system interfaces, system blueprints and performance target,.
• Collaborate with Product, Program, and Engineering to define how the wireless charging solution will be designed, developed, built, tested, calibrated, integrated, and validated.
• Ensure compliance with safety, regulatory, and quality standards, support certification approvals.
• Perform Failure Mode Analysis to ensure robust system behavior.
• Serve as the primary point of accountability for the feature across all cross‑functional teams.
• Own and maintain the Feature and System Bill of Materials (BoM).
• Support development and maintenance of the testable functionality rollout plan.

Your Skills & Abilities (Required Qualifications):

• Strong knowledge of systems and software architecture, embedded software development, and testing methodologies.
• 5+ years of experience in Systems Engineering, Embedded Controls, or equivalent development domain.
• Bachelor’s degree in Engineering (Electrical, Computer, Software, Mechatronics, or related).
• Experience with requirement tools such as DOORS / DNG and Rhapsody (preferred).
• Familiarity with Agile or SAFe development methodologies.
• Strong analytical and problem‑solving skills, with the ability to work through complex technical challenges.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and ability to collaborate across global teams and functional areas.
• Demonstrated organizational agility and ability to work effectively in cross‑functional environments.

What Can Give You a Competitive Edge (Preferred Qualifications):

• 8+ years of experience in Systems Engineering, Embedded Controls, or equivalent development domain.
• Understanding of automation strategies such as CI/CD and Continuous Testing.
• Experience with Service‑Oriented Architecture (SOA) and Behavior‑Driven Development (BDD).

Experience with Model‑Based Systems Engineering (MBSE).

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 is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

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.

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:

As a Technical Lead 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 define the technical vision and multi-quarter roadmap for 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.

What you’ll be doing:

• Shape the technical vision by owning multi-quarter roadmap designs for vehicle dynamics and controls software.
• 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.
• Guide other developers through system design and implementation focusing on safety, comfort, and compute efficiency.
• 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
• Mentor engineers across teams, raising the bar on technical judgment, design quality, and execution discipline without direct people management responsibilities.
• Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
• Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting.
• Help define, build, and embody GM engineering culture and principles.

Qualifications:

• Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
• 5+ 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

Remote: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 $218,800.00 to $335,300.00. 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. 

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.

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.

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: As a Senior Research Scientist in the AI Research organization, you will be advancing the frontier of machine learning to solve challenging problems in autonomous driving. You will design state-of-the-art algorithms that open new possibilities for our vehicles. Additionally, you will help shape technical directions, mentor, and publish at top conferences.

About the Organization: The AI Research team advances the state-of-the-art in AI for autonomous vehicles. We research, design, and prototype advanced AI/ML techniques (e.g., foundation models, VLAs, diffusion, image/video generation, self-supervised learning, IL, RL) that help our vehicles unlock new autonomous capabilities. Join a collaborative and innovative team redefining autonomy. 

What You’ll Do

• Research, design, and prototype advanced ML approaches (e.g., foundation models, VLAs, diffusion, image/video generation, self-supervised learning, IL, RL) to advance the state-of-the-art in autonomous driving.
• Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones.
• Provide technical mentorship and vision.
• Collaborate closely with multidisciplinary engineering groups, helping foster ML innovation across teams.
• Represent GM externally through publications, patents, and participation in top conferences.

Your Skills & Abilities (Required Qualifications)

• Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
• 2+ years of experience in AI/ML research and applied development.
• Expertise in modern ML architectures (transformers, generative AI, multimodal systems).
• Strong programming skills in Python.
• Strong communication, collaboration, and mentoring abilities

What Will Give You A Competitive Edge (Preferred Qualifications)

• Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry leading systems.
• AV/ADAS experience

Remote:This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a 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 New York, Colorado, California, or Washington.

• The salary range for this role is $170,600.00 to $261,300.00. 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.

Job Description

Job Description

We are seeking a high-performing, self-driven Senior Systems Engineer to join the Systems Engineering team, focused on vehicle display systems. In this role, Head-Up Display (HUD) and Display Articulation features will be your primary areas of responsibility.

You will be responsible for translating product intent into robust, testable system solutions using Model-Based Systems Engineering (MBSE). This role plays a key part in delivering high-quality display experiences by leading system-level definition, decomposition, and integration of HUD and articulated display features across software, electronics, optics, mechanical components, and virtual environments.

You will work closely with design, software, mechanical, validation, UX, and platform engineering teams to ensure display features integrate seamlessly into vehicle programs.

What You’ll Do

• Own system-level architecture, design, and integration for HUD and Display Articulation features within the vehicle display domain.
• Decompose product and program requirements into system models, functional architectures, and testable software, electrical, optical, and mechanical requirements.
• Develop and maintain system blueprints, including functional decomposition, logical architecture, interface definitions, requirements, allocations, and system-level FMEAs.
• Own and evolve MBSE artifacts, such as functional models, interface definitions, activity, use-case, and context diagrams.
• Allocate and partition HUD and display articulation functionality to implementation teams, supporting architectural trade studies and optimization.
• Define, develop, and maintain co-simulation and virtual validation environments and acceptance criteria for display features.
• Work directly with software, hardware, optics, and mechanical teams to ensure alignment with platform constraints, UX guidelines, and system interfaces.
• Support integration, calibration, validation, and issue resolution for HUD and display articulation features, including root cause analysis.
• Ensure designs meet safety, regulatory, quality, and performance standards, supporting certification and approval activities.
• Drive continuous improvement in MBSE adoption, system modeling quality, and virtual validation capability.
• Document technical deliverables and support program milestones across the product lifecycle.

Key Responsibilities

• System modeling and architecture definition using MBSE
• Functional decomposition and end-to-end requirement traceability
• Change control and architectural allocation for HUD and display articulation features
• Co-simulation strategy definition and system-level validation planning
• Definition of acceptance criteria and “definition of done” for display feature deliverables
• Cross-functional technical leadership and stakeholder alignment

Technical Focus & Capabilities

• Strong system-level understanding of vehicle display systems, with direct responsibility for HUD and display articulation features.
• Knowledge of HUD fundamentals, including optics, image generation, alignment, calibration, ghosting, distortion, brightness, and field-of-view.
• Understanding of display articulation systems, including actuation mechanisms, position sensing, control logic, fault handling, and safety interlocks.
• Familiarity with display electronics and interfaces (LVDS, Ethernet, CAN, LIN) and related diagnostics.
• Experience with display bring-up, calibration, and validation, including environmental and vehicle-level testing.
• Ability to define and manage system-level performance requirements such as latency, resolution, brightness, power, and thermal behavior.
• Experience performing system-level FMEAs, fault detection, and graceful degradation for display features.
• Strong understanding of software–hardware–mechanical interactions affecting display behavior and customer experience.
• Exposure to virtual validation and co-simulation for early feature and architecture assessment.

Required Qualifications

• Bachelor’s degree in Engineering (Systems, Electrical, Software, Mechanical, or related field).
• 5+ years of experience in systems engineering or software-intensive automotive development.
• Strong expertise in systems architecture, MBSE, requirements development, integration, and validation.
• Solid background in model-based development and virtual simulation.
• Proficiency with MBSE and requirements tools (e.g., Rhapsody, DOORS / DOORS Next).
• Ability to work through complex, ambiguous technical problems.
• Demonstrated ability to collaborate and influence across disciplines.
• Strong communication and execution skills.

LI-JK3

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 is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

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.

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
As a Senior AI/ML Engineer in the Embodied AI organization, you will develop and deploy machine learning solutions contributing to autonomous driving performance. You will contribute to designing and improving ML models that support safe and reliable vehicle behavior across real-world scenarios.

You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready solutions while contributing to engineering best practices and delivery execution.

What You'll Do

• Develop and improve ML solutions aligned with GM’s autonomous driving objectives.
• Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
• Collaborate with cross-functional teams to deploy models into onboard driving systems.
• Implement and evaluate models, incorporating research advancements into practical applications.
• Contribute to taking ML solutions from experimentation through deployment and production support.
• Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing.

Your Skills & Abilities

• Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, or related field.
• Experience applying machine learning techniques to real-world systems or large-scale datasets.
• Proficiency in PyTorch and Python.
• Experience working with model training pipelines or large-scale data processing workflows.
• Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
• Ability to collaborate effectively within cross-functional engineering teams.
• Experience deploying ML models into production or working within production ML environments preferred.

Remote: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 $170,600.00 to $261,300.00. 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.

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
As a Staff AI/ML Engineer in the Embodied AI organization, you will serve as a senior individual contributor developing and deploying machine learning solutions that directly impact autonomous driving performance. You will design and implement advanced ML models that enable safe and reliable vehicle behavior across diverse real-world scenarios.

In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard ML solutions while contributing to the continuous improvement of our autonomy stack.

What You'll Do

• Design and implement ML solutions aligned with GM’s autonomous driving objectives.
• Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI.
• Collaborate with cross-functional teams to deploy models and algorithms into onboard driving systems.
• Contribute to applied research efforts and remain current with advancements in ML frameworks and methods.
• Design and build efficient infrastructure, pipelines, and tooling to facilitate fast-pace model iterations.
• Drive technical execution from prototyping through production deployment, documenting learnings and best practices.
• Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence.

Your Skills & Abilities

• Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, or related field.
• Experience working with large-scale foundation models and alignment methods applied to real-world systems.
• Demonstrated ability to deliver applied ML solutions under real-world constraints and timelines.
• Proficiency in PyTorch and Python.
• Experience building and scaling model training pipelines enabling efficient iteration across teams.
• Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
• Strong communication skills enabling effective collaboration across engineering teams.
• Experience deploying ML models into production environments and understanding end-to-end deployment workflows.
• Experience in robotics or autonomous driving systems preferred.

Remote: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 $218,800.00 to $335,300.00. 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. 

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.

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.