9 часов назад
Senior Simulation Engineer (Autonomous Driving)
180 000 - 258 750$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Simulation Engineer (Autonomous Driving): Building sensor and system-level simulation workflows, realistic environments, and data pipelines for closed-loop validation and synthetic data generation with an accent on end-to-end autonomy, 3D reconstruction, and high-fidelity simulation. Focus on integrating simulation platforms, validating learned driving behaviors, analyzing virtual tests, and closing the gap between simulation and on-vehicle deployment.
Location: Los Altos, California, United States; hybrid workplace.
Salary: $180,000–$258,750 per year for California-based roles.
Company
develops research and engineering capabilities in AI, robotics, autonomous driving, and material sciences to improve human mobility and quality of life.
What you will do
- Build visually realistic simulators for testing the full end-to-end autonomy stack, from sensor simulation to motion planning.
- Prototype and integrate internal and third-party simulation platforms for learned system testing.
- Develop scenario curation, data logging, diagnostic tooling, and analysis pipelines for large-scale virtual tests.
- Define simulation entry points, runtime configurations, and closed-loop evaluation metrics with autonomy, ML, and integration teams.
- Lead efforts to improve the reliability of simulation-based validation and bridge simulation with on-vehicle deployment.
- Provide technical mentorship, documentation, presentations, and cross-functional alignment across engineering organizations.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field.
- 10+ years of experience in robotics, autonomous systems, or simulation.
- Strong Python and C++ programming skills for robotics or systems development.
- Experience with 3D reconstruction, 3D generation, Unreal Engine, and simulation platforms such as CARLA, Applied Intuition, or Nvidia DriveSim.
- Knowledge of sensor simulation, synthetic data, perception systems, and end-to-end autonomy pipelines.
- Ability to design for autonomy developers and simulation infrastructure stakeholders.
Nice to have
- Experience validating machine-learning-based autonomy stacks in closed-loop simulation.
- Knowledge of scenario generation, rare-event simulation, counterfactual testing, multi-agent simulation, or high-fidelity 3D environments.
- Knowledge of cloud platforms such as AWS.
- Experience in fast-paced R&D environments bridging research and production.
- Relevant open-source contributions or technical project write-ups.
Culture & Benefits
- Collaborative work across , Woven by Toyota, and engineering partners.
- Technical mentorship and a high-trust engineering culture across organizational boundaries.
- Medical, dental, and vision insurance.
- 401(k) eligibility, paid vacation, sick time, and parental leave.
- Annual cash bonus structure.
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