Senior Software Systems Engineer - Autonomous Vehicles

General Motors Corporation; Sunnyvale (CA); Hybrid; USD 153,000 - 234,000; Full time

Benefits offered by this job

Health and wellbeing benefits

GM vehicle discounts

Job summary

General Motors seeks a Senior Software Systems Engineer for Autonomous Vehicles to design, implement, and maintain evaluation and validation processes for ML-based AV software. You will work with AI/ML, simulation, and data teams to scale test frameworks, collect evidence, and prioritize signals that improve confidence in system performance.

You will own end-to-end evaluation, develop scalable pipelines, and communicate insights to engineers and leadership, ensuring alignment with safety and

Qualifications

• Strong Python programming and ability to build clear, maintainable analysis tools.
• Experience designing or implementing testing, simulation, or evaluation frameworks for complex systems.
• Demonstrated end-to-end ownership from problem definition to delivery and communication.
• Analytical and systems-engineering work involving complex software/hardware systems or AI functions.

Responsibilities

• Define AV evaluation and validation processes from concept to implementation, including test-framework requirements and metrics.
• Design scalable testing and simulation frameworks for test generation, execution, data collection, and analysis.
• Provide hands-on implementation of infrastructure and data solutions to assess AV performance using simulation and real data.
• Develop methods to evaluate sim-to-real correlation and predictive value of simulation results.
• Identify metrics and sampling approaches to improve evaluation workflows and evidence.
• Contribute to automated triage and root-cause analysis for AV deficiencies and uncertainties.
• Communicate insights and limitations to engineers and leadership; maintain KPIs and confidence measures.
• Support safety and readiness decisions by linking continuous improvement to evidence.

Skills

Python

Testing frameworks

End-to-end ownership

Analytical

Cross-functional comms

Data analysis

GitHub/Jira

Education

Bachelor's degree or higher

Related disciplines: Eng/Phys/Math/Data Science

Tools

GitHub

Jira

Job description

## Senior Software Systems Engineer - Autonomous VehiclesApply: Remote: Sunnyvale, California, United States of America: Full time: Posted Today: JR-202619946**Job Description**## The RoleYou will be part of a team that drives systematic and data-driven improvements to autonomous vehicle software by designing, implementing, and maintaining robust processes for evaluation and validation. We are looking for a highly motivated individual with excellent analytical skills to own end-to-end execution, improve evaluation methodologies, and communicate insights that establish confidence in the quality of our end-to-end ML stack.In this position, you will work closely with AI/ML engineers, simulation engineers, systems engineers, and data partners to identify, analyze, monitor, and prioritize the signals used to assess performance. You will leverage simulation and on-road data to build scalable processes for evaluating coverage, metrics, uncertainty, and validation confidence.If you are interested in having a major impact on accelerating validation confidence for ML-driven autonomy through creative problem solving, let’s chat!## What you’ll be doing* Define AV evaluation and validation processes from initial concept through implementation, including test-framework requirements, scenario and test-suite design, coverage, metrics, and the evidence needed to assess confidence in system performance.* Design and implement scalable testing and simulation frameworks for test generation, execution, data collection, result aggregation, and reproducible analysis.* Provide hands-on implementation of infrastructure and data solutions to assess confidence in AV performance using simulation and on-road data.* Develop and apply methods to evaluate simulation validity, sim-to-real correlation, and the predictive value of simulation results.* Proactively scope and identify metrics, sampling approaches, and analytical methods needed to improve evaluation workflows and close gaps in evidence.* Contribute to automated triage and root-cause analysis strategies for AV deficiencies, regressions, and uncertainty in an end-to-end stack.* Articulate insights, summaries, limitations, and recommendations to engineers, technical leaders, and other stakeholders based on continuous analysis of AV performance.* Define and maintain scalable processes to identify, monitor, and improve evaluation KPIs and confidence measures.* Help connect continuous-improvement activities to the evidence needed to support safety, systems, and downstream readiness decisions.## What you must have* Strong Python programming skills, with experience building clear, maintainable analysis, evaluation, or testing tools.* Experience designing or implementing testing, simulation, or evaluation frameworks for complex software/hardware or cyber-physical systems.* Experience with GitHub, Jira, or equivalent tools.* Demonstrated end-to-end ownership, from defining a problem through delivering and communicating the desired outcome.* A track record of analytical and systems-engineering work involving complex software/hardware systems or ambiguous AI functions.* Experience performing root-cause analysis and applying analytical methods to system or behavioral performance data.* Ability to creatively solve problems with limited supervision, learn quickly, and operate effectively in a fast-paced environment.* Strong cross-functional communication skills, including the ability to communicate data-driven findings to leadership.* Bachelor’s, master’s, or doctoral degree in engineering, physics, applied mathematics, statistics, data science, or a related discipline, or an equivalent combination of education and experience.## Bonus points!* Experience with autonomous vehicles, ADAS, robotics, or production-grade robotic systems.* Hands-on experience with simulation environments, scenario generation, large-scale test execution, or analysis of simulation results.* Experience with statistical methods for product evaluation, risk assessment, sampling, or confidence analysis.* Experience developing data-driven metrics, scorecards, coverage measures, or regression-detection methods.* Experience with verification and validation, simulation-to-real-world correlation, test automation, or large-scale evaluation systems.* Passion for understanding complex robotics and AI systems and turning their behavior into measurable evidence.**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 $153,200 to $234,100. 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