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Technical Lead, Simulation

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Technical Lead, Simulation in USA new

  • CloudKitchens
  • Full time
  • Email
  • San Francisco, CA

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.

Salary: $208k - $263k/yr

CloudKitchens

CloudKitchens builds delivery-first commercial kitchen facilities and restaurant software for food and beverage operators. It leases turnkey kitchen space and provides tools for order management, delivery logistics, and multi-brand operations, enabling restaurants and entrepreneurs to expand with...

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