Sr. Evaluation, Validation & Simulation Engineer

42dot•San Francisco, CA
•$210,000 - $300,000

About The Position

42dot is building a new autonomous driving organization focused on delivering production-ready L4 autonomy across trucks, buses, passenger vehicles, and robotaxis. The organization takes an ML-first approach centered on end-to-end learning, foundation models, VLA models, and world models. As a founding senior engineer, you will help define how autonomy performance is measured, validated, and improved across the organization. The role focuses on building scalable evaluation, validation, and simulation systems that accelerate autonomy development and support understanding model strengths, weaknesses, and deployment readiness. Early team members will influence KPI strategy, evaluation architecture, validation methodology, simulation strategy, safety readiness processes, and the technical roadmap.

Requirements

  • Demonstrated grit, ownership, and a track record of driving difficult technical problems from ambiguity to successful deployment.
  • Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, Mathematics, Statistics, or a related field.
  • 5+ years of experience in autonomy, robotics, simulation, ML infrastructure, validation, analytics, or large-scale software systems.
  • Strong software engineering and system design skills.
  • Experience leading technical projects from concept to deployment.
  • Strong analytical and problem-solving abilities.

Nice To Haves

  • Autonomous driving experience.
  • Safety-critical systems experience.
  • Simulation platform experience.
  • Data mining and analytics experience.
  • ML evaluation and benchmarking experience.
  • Statistical modeling experience.

Responsibilities

  • Define and evolve autonomy KPIs and performance metrics.
  • Lead development of evaluation and validation infrastructure.
  • Design scalable testing and performance analysis methodologies.
  • Build simulation-driven validation workflows.
  • Develop tools for failure analysis and scenario mining.
  • Drive data-informed prioritization of autonomy improvements.
  • Mentor engineers and contribute to team growth.
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