General Motors

Evaluation Systems Engineer – Autonomous Vehicles

General Motors

full-time

Posted on:

Location Type: Hybrid

Location: WarrenMissouriUnited States

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Salary

💰 $125,000 - $191,700 per year

Tech Stack

About the role

  • 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

Requirements

  • 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
Benefits
  • Incentive pay program based on company performance, job level, and individual performance
  • Relocation benefits may be available
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLELT pipelinesanalytical methodsroot cause analysissystems engineeringdata analysisevaluation KPIsautomated triage strategiesmachine learning
Soft Skills
problem-solvingcross functional communicationcollaborationcreativityadaptabilityanalytical thinkingownershipmotivationquick learningpresentation skills
Certifications
BS in EngineeringMS in EngineeringPhD in Engineering