Senior Software Systems Engineer Autonomous Vehicles

Job Description

You 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 lets chat!

• 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.

• 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.

• Bachelors masters or doctoral degree in engineering physics applied mathematics statistics data science or a related discipline or an equivalent combination of education and experience.

• 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 $153200 to $234100. 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

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