Staff Autonomy Evaluation Engineer

Self-driving service company building advanced autonomous vehicles to safely connect people to places, partnered with GM and Honda.
$166,600 - $245,000
Machine Learning
Staff Software Engineer
Hybrid
5+ years of experience
AI · Automotive

Description For Staff Autonomy Evaluation Engineer

Cruise, a pioneering self-driving vehicle company backed by industry giants GM, Honda, Microsoft, and Walmart, is seeking a Staff Autonomy Evaluation Engineer to drive their autonomous vehicle technology forward. This role sits at the intersection of machine learning, autonomous systems, and vehicle safety, requiring a blend of technical expertise and leadership abilities.

The position offers a unique opportunity to work on cutting-edge autonomous vehicle technology while leading impactful projects that address real-world challenges in urban mobility. As a technical leader, you'll be responsible for developing and implementing evaluation strategies for the entire autonomous vehicle stack, working with state-of-the-art technology and data systems.

The ideal candidate will bring 5+ years of post-academic experience in machine learning or data science, combined with strong software engineering skills and statistical foundations. You'll lead a team in developing sophisticated evaluation metrics, analyzing autonomous vehicle performance, and creating scalable solutions for complex problems in the self-driving domain.

What makes this role particularly attractive is the opportunity to work with a company that's fully integrated with manufacturing at scale through partnerships with GM and Honda. The compensation package is competitive ($166,600 - $245,000) and comes with comprehensive benefits including medical coverage, 401(k) matching, and flexible work arrangements through CruiseFlex.

This position offers the chance to be at the forefront of autonomous vehicle technology while making a meaningful impact on the future of transportation. You'll work in a diverse, inclusive environment that values unique perspectives and encourages innovation, all while contributing to technology that aims to save lives and reshape cities.

Last updated 13 days ago

Responsibilities For Staff Autonomy Evaluation Engineer

  • Define success criteria from ambiguous problem statements
  • Drive evaluation strategies and roadmaps for safety, roadcraft and compliance metrics
  • Ensure comprehensive validation of AV performance
  • Streamline testing and road monitoring process
  • Mentor fellow Data Scientists
  • Build high quality data miners and metrics
  • Analyze AV performance data
  • Develop new methodologies for metrics improvement
  • Test and deploy methods in simulation environment
  • Collaborate with various teams to build tools and dashboards
  • Convert insights into actionable recommendations

Requirements For Staff Autonomy Evaluation Engineer

Python
Linux
  • Masters or PhD degree or equivalent experience in Robotics, Transportation, Physics, Aerospace Engineering
  • 5+ years post-academic experience in evaluating large models, data science, or machine learning
  • Strong software engineering foundation
  • Proficiency in SQL and Python
  • Experience in designing, training, and analyzing machine learning models
  • Solid statistical foundations
  • Experience in automated reporting tools
  • Track record of leading multi-functional initiatives
  • 3+ years of experience mentoring data scientists

Benefits For Staff Autonomy Evaluation Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
401k
Parental Leave
Commuter Benefits
  • Competitive salary and benefits
  • Medical / dental / vision, Life and AD&D
  • Subsidized mental health benefits
  • Paid time off and holidays
  • Paid parental, medical, family care, and military leave
  • 401(k) Cruise matching program
  • Fertility benefits
  • Dependent Care Flexible Spending Account
  • Flexible Spending Account & Health Saving Account
  • Perks Wallet program
  • Pre-tax Commuter benefit plan
  • CruiseFlex location-flexible work policy

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