Staff Evaluation Systems Engineer, Autonomous Vehicles

Overview

Remote
Hybrid
Compensation information provided in the description
Full Time

Skills

RADIUS
Reporting
Elasticsearch
Creative Problem Solving
Machine Learning (ML)
Workflow
Static Timing Analysis
KPI
Articulate
Continuous Improvement
Regulatory Compliance
Python
SQL
R
ELT
Quality Assurance
Conflict Resolution
Problem Solving
Systems Engineering
Artificial Intelligence
Root Cause Analysis
Analytical Skill
Supervision
Communication
Collaboration
Leadership
Evaluation
Risk Assessment
GitHub
JIRA
Robotics
Audiovisual
AV
FOCUS
SAP BASIS
Recruiting
Screening

Job Details

Job 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 driv es systematic and data-driven improvements to the Autonomous Vehicle sof twa re 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 hig h -qual ity 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 s ignals 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 Y ou'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 s tack.


  • Provide hands-on implementation of infrastructure solutions t o assess AV performance from E LT tooling at GM from simulation and on-road data .


  • Proactively scope and identify metrics needed to imp rove our evaluation workflows and devise paths for implementation if not available .


  • Contribute to automated triage strategies for AV deficiencies in an End-to- E nd sta ck architecture and p resent findings to rele vant 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 s afety case and compliance with safety standards .


Additional Job Description

Your Skills & Abilities:

  • Strong Python and SQL programming


  • Prio r 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 $195,00 to $298,800. 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.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources .

Non-Discrimination and Equal Employment Opportunities (U.S.)

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All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .

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