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Staff Evaluation Systems Engineer, Autonomous Vehicles

  • Emplacement
    • Remote
  • Horaire Full time
  • Posté
  • Job Requisition JR-202510180

Description

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. 

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. 

[Additional Description]

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 $165,00 to $253,200. 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. 

Relocation: This job may be eligible for relocation benefits.  

Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés.  Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi.  Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant. 

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.