Technical Lead, Simulation

Responsibilities

• Own the simulation platform architecture, including simulation control, run identity, determinism, reproducibility, batch execution, and log storage and indexing.
• Build and manage log-replay pipelines, including replayable test cases, open-loop scoring against ground truth, and closed-loop replay.
• Own scenario schemas, scenario libraries, coverage definitions, and commit, nightly, regression, and release-validation suites.
• Define release-gating criteria, reporting, and resolution workflows for failing scenarios.
• Evaluate simulation-platform build-versus-buy options and manage resulting vendor relationships and service levels.
• Measure and report differences between simulated and vehicle behavior as a simulation-fidelity metric.
• Set engineering practices for testing, review, documentation, and simulation-result reporting.
• Mentor engineers, participate in hiring, and represent simulation requirements and constraints in cross-functional roadmap discussions.

Requirements

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a related field with 8+ years of relevant experience.
• 2+ years as a technical lead or engineering manager setting technical direction and driving consensus across engineers and stakeholders.
• Experience owning a production continuous-integration simulation platform with determinism, reproducibility, and execution-at-scale accountability.
• Hands-on experience building large-scale log replay with ground-truth scoring and closed-loop divergence handling.
• Experience with system-level scenario-based testing, scenario libraries, coverage definitions, and test-suite architecture.
• Proficiency in C++ and Python, including debugging and navigating large existing codebases.
• Demonstrated build-versus-buy judgment for simulation or test infrastructure, including subsequent maintenance costs.
• Experience with an autonomous vehicle or robotics platform and end-to-end understanding of sensing, perception, localization, planning, and controls.
• Working experience with robotics middleware and its logging and replay tooling.
• Experience handling camera, LiDAR, and radar data across multiple modalities and timestamps.
• Track record of mentoring engineers and raising a team's technical standards.
• Working fluency with modern AI coding and agentic development tools.
• Ability to work onsite five days a week in San Francisco.

Benefits

• Medical, dental, vision, disability, and life insurance.
• Flexible Spending Account and Health Savings Account options.
• 401(k) plan and equity eligibility.
• Sick time, unlimited flexible time off, and paid holidays.
• Paid parental leave.
• Pre-tax commuter benefit plan.
• Team lunch in the SoMa office every Tuesday and Thursday.
• The role is full-time exempt, based onsite in San Francisco five days per week.