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Staff Evaluation Systems Engineer, Autonomous Vehicles

  • Ubicación
    • Remote
  • Cronograma Full time
  • Publicado
  • Job Requisition JR-202510180

Descripción

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.  

Información sobre diversidad

General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar.  Para obtener más información, visite Cómo contratamos.

Declaración de igualdad de oportunidades en el empleo (EE.UU.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades.  Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido. 

Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.

 

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