Senior Software Systems Engineer, Autonomous Vehicles - Metrics & Evaluation

Description

The Role

You will be part of a team that drives systematic and data-driven improvements to the Autonomous Vehicle software by designing, implementing, and maintaining robust processes for evaluation and validation of our AVs. To achieve this objective, we are looking for a highly motivated individual with excellent analytical skills to own end to end execution, methodology improvements and insight articulation/communication to ensure high-quality evaluation and release of our End-to-End ML Stack.

In this position, you will work closely with AI/ML Engineers, Simulation Engineers, Systems Engineers, Product Managers to identify, analyze, monitor and prioritize the most important signals to assess performance of our ML based stack leveraging simulation and on-road data and building scalable processes to evaluate compliance to our KPIs.

If you're interested in having a major impact on accelerating AV Behavioral Evaluation assessment on ML-driven autonomy through creative problem solving, let's chat!

What you’ll be doing:

Define an AV evaluation process that spans from initial conception through implementation, ensuring it is applied to the release of our end-to-end (E2E) ML stack.

Provide hands-on implementation of infrastructure solutions to assess AV performance from ELT tooling at GM from simulation and on-road data.

Proactively scope and identify metrics needed to improve our evaluation workflows and devise paths for implementation if not available.

Contribute to automated triage strategies for AV deficiencies in an End-to-End stack architecture and present findings to relevant stakeholders.

Articulate insights, summaries and recommendations to AV developers and executives based on continuous analysis of AV performance.

Define and maintain scalable processes to identify, monitor and improve evaluation KPIs as definition of success of evaluation initiatives.

Map and articulate link between continuous improvement processes with the product safety case and compliance with safety standards.

What you must have:

Strong Python and SQL programming

Strong skills in high quality SW Development using AI tools

Prior knowledge and implementation of ELT pipelines for product quality analysis

Experience with GitHub and Jira or equivalent tools

Strong problem-solving skills - End to End ownership from problem definition to deriving the desired outcome

Proven track record of analytical and systems engineering skills while dealing with complex systems and ambiguous AI functions

Proven track record of root cause analysis in complex SW/HW systems

Familiarity with analytical methods for driving behavioral analysis

Ability to creatively problem solve with limited supervision

Motivated by a fast paced, challenging environment with high expectations and quick turnarounds

Ability to learn quickly, starting with little information and quickly becoming an expert in your domain

Strong cross functional communication and collaboration skills

Proven experience at communicating data driven decisions to leadership

Passionate about robotics/AI complexities

BS , MS or PhD in Engineering or related discipline or equivalent combination education and experience

Bonus Points!

Experience with AVs and/or Production grade robotics developments and AV/ADAS systems

Experience with statistical methods for product evaluation and risk assessment

Experience with developing data driven metrics

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

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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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

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