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TLM, Autonomy Evaluation

Nuro
Mountain View, California
Full Time
Posted December 23, 2025
$235k - $352k
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Job Description

The role involves leading the development and evaluation of algorithms for self-driving vehicle systems, working cross-functionally to improve autonomous performance and scalability, and guiding a team of engineers in advancing robotics and AI technologies.

Key Responsibilities

  • Design and deploy algorithms to evaluate the performance of ML models powering the self-driving vehicle.
  • Work cross-functionally to set and improve the evaluation frameworks and technical roadmap.
  • Leverage evaluation algorithms to identify performance improvements and drive technical execution.

Requirements

  • Bachelor's degree in Computer Science, Robotics, Statistics, Physics, Math, or another quantitative area.
  • At least 5 years of industry experience.
  • Demonstrated proficiency in Python through past work.
  • Technical skills in AI, Machine Learning, and robotics to set a clear vision for the team.
  • Ability to evaluate the pros and cons of technical decisions and choose the right outcome.
  • Exercise exceptional technical judgment.
  • Strong desire to learn and grow technical knowledge.
  • Domain expertise in AI, Machine Learning, robotics, and/or evaluation.
  • Inherent sense of urgency and championing fast and high-quality technical execution.
  • Ability to earn the respect and trust of an organization of talented individuals.
  • Excellent communication skills to clearly explain decision-making processes and outcomes.
  • Ability to get everyone onboard with a unified vision.
  • Experience working with AI Platform teams to communicate dependencies and ensure team success.
  • Experience in hiring, creating, organizing, and fostering world-class autonomy engineering teams and culture.
  • Ability to inspire team members to grow their skills and drive impact for the company.

Benefits & Perks

Compensation/salary range between $235,030 and $352,290, plus potential annual performance bonus and equity
Work schedule details not specified
Work environment perks not specified
Competitive benefits package, inclusive and diverse workplace, and psychological safety

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