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Staff Evaluation Systems Engineer, Autonomous Vehicles

  • Localização
    • Remote
  • Agendar Full time
  • Postou
  • Job Requisition JR-202510180

Descrição

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.  

Informações sobre diversidade

A General Motors está comprometida em ser um local de trabalho que não só é livre de discriminação ilegal, como estimula verdadeiramente a inclusão e integração. Acreditamos enfaticamente que a diversidade na força de trabalho cria um ambiente no qual nossos colaboradores podem crescer e desenvolver melhores produtos para nossos clientes. Incentivamos os candidatos interessados a analisar as principais responsabilidades e qualificações de cada função e a se candidatar a qualquer cargo que corresponda a suas habilidades e capacidades. Os candidatos no processo de recrutamento podem, quando aplicável, ser solicitados a concluir com sucesso uma ou mais avaliações relacionadas à função e/ou uma seleção pré-emprego antes de iniciar o emprego.  Para saber mais, acesse Como contratamos.

Declaração de Igualdade de Oportunidades de Emprego (EUA)

A General Motors tem orgulho de ser um empregador que oferece oportunidades iguais.  Todos os candidatos qualificados serão considerados para o emprego, independentemente de raça, cor, religião, sexo, orientação sexual, identidade de gênero, origem nacional, deficiência ou status como veterano protegido. 

Adaptações (EUA e Canadá)

A General Motors oferece oportunidades a todos os candidatos a emprego, incluindo pessoas com deficiências. Se você precisa de uma adaptação razoável para ajudá-lo na sua pesquisa de cargos ou solicitação de emprego, fale conosco pelo e-mail [email protected] ou pelo telefone 800-865-7580. No seu e-mail, inclua uma descrição da adaptação específica que você está solicitando assim como o nome do cargo e o número de requisição do cargo ao qual está se candidatando.