- Bachelor’s or Master’s in Computer Science, Robotics, or a related field.
- 10+ years of experience in robotics, autonomous systems, or simulation.
- Experience with 3D reconstruction (e.g. Gaussian Splatting, Neural radiance fields, etc).
- Experience with 3D generation.
- Experience with Unreal Engine.
- Strong programming skills in Python and C++, especially for robotics or systems development.
- Experience with simulation platforms (e.g., CARLA, Applied Intuition, Nvidia DriveSim, etc) and their integration into autonomous system workflows.
- Knowledge of sensor simulation principles and how perception systems interact with synthetic data.
- Understanding of end-to-end autonomy pipelines, from raw sensor input to trajectory outputs.
- Demonstrated ability to design for both users (e.g., autonomy developers) and simulation infrastructure stakeholders.
- Passion for using simulation to drive real-world progress and system understanding.
Bonus Qualifications
- Hands-on experience validating machine learning-based autonomy stacks in closed-loop simulation.
- Knowledge of scenario generation, rare event simulation, or counterfactual testing.
- Knowledge of one or more cloud compute platforms, such as AWS.
- Experience with multi-agent simulation or high-fidelity 3D environments.
- Prior experience in fast-paced R&D environments bridging research and production.
Please include links to any relevant open-source contributions or technical project write-ups with your application.
The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure.
Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.