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TechnologyFull-timeOn-site

Senior Software Systems Engineer, Autonomous Vehicles - Metrics & Evaluation

General Motors is recruiting for Senior Software Systems Engineer, Autonomous Vehicles - Metrics & Evaluation in Sunnyvale, California, United States of America.

Must have

Hands-on experience with the role’s core software, cloud or infrastructure stack · Strong troubleshooting, automation and change-control discipline · Ability to support secure, reliable systems under operational pressure · Proven ownership of complex work and confidence guiding othersPractical essentials for this role
  • Hands-on experience with the role’s core software, cloud or infrastructure stack
  • Strong troubleshooting, automation and change-control discipline
  • Ability to support secure, reliable systems under operational pressure
  • Proven ownership of complex work and confidence guiding others

Preferred

Experience in motorsport, automotive or real-time engineering systems · Relevant cloud, security or platform certificationUseful background for this role
  • Experience in motorsport, automotive or real-time engineering systems
  • Relevant cloud, security or platform certification
Hiring businessGeneral MotorsSunnyvale, California, United States of America
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About the role

Job Description T he   Role   You will be part of a team that   driv es   systematic and data-driven   improvements   to   the   Autonomous Vehicle   sof twa re   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   hig h -qual ity   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 s ignals 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   s tack.   Provide hands-on   implementation   of   infrastructure   solutions   t o   assess   AV   performance   from E LT   tooling at GM from simulation and   on-road   data .   Proactively   scope and   identify   metrics needed to imp rove our evaluation   workflows   and devise paths for implementation if not   available .   Contribute to   automated   triage strategies   for   AV   deficiencies   in   an End-to- E nd   sta ck   architecture   and p resent   findings   to   rele vant   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   s afety   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     Prio r   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. 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 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.

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