Senior Software Systems Engineer, Autonomous Vehicles - Metrics & Evaluation

The 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 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 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. 

What you must have:  

• Strong Python and SQL programming 

• Strong skills in high quality SW Development using AI tools  

• Prior 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