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Evaluation Systems Engineer Autonomous Vehicles

General Motors California, United States

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$12k · Senior Full-time Posted 24 days ago 5 min read

Job Description 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 Do:

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.

Your Skills & Abilities:

Strong Python and SQL programming
Prior knowledge and implementation of ELT pipelines for product quality analysis
Strong problem-solving skills - End to End ownership from problem definition to deriving the desired outcome
Passionate about robotics/AI complexities
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
Strong cross functional communication and collaboration skills
Ability to learn quickly, starting with little information and quickly becoming an expert in your domain
Proven experience at communicating data driven decisions to leadership
BS , MS or PhD in Engineering or related discipline or equivalent combination education and experience

What Will Give You A Competitive Edge:

Experience with statistical methods for product evaluation and risk assessment
Experience with developing data driven metrics
Experience with GitHub and Jira or equivalent tools
Experience with robotics and AV/ADAS systems

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 $125,00 to 191,700. 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.

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

Relocation: 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, email us or call us at 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.

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