Tri Source International

Senior Simulation Engineer

Los Altos, CA · Senior

Sponsorship not specifiedDetected 351 days ago

PythonC++Full-Stack DevelopmentMachine LearningData EngineeringRoboticsUnreal EngineResearchCollaborationMentoringPublic Speaking

About the role

We achieve this through partnership, collaboration, and shared commitment.
This cross-org collaborative project is harmonious with TRI's robotics divisions' efforts in Diffusion Policy and Large Behavior Models.
This role is not limited to simulation infrastructure or tooling.

Build a visually realistic simulator to test full end-to-end autonomy stack behavior, from simulating sensors to motion planning, across a range of scenario conditions.
Prototype and integrate with internal and third-party simulators to evaluate their ability to support learned system testing.
Build data logging frameworks used during large-scale virtual tests.
Collaborate closely with autonomy, ML, and integration teams to define simulation entry points, runtime configs, and closed-loop evaluation metrics.
Build diagnostic tooling and analysis pipelines to understand and improve real system behavior in simulation.
Lead cross-functional efforts to close the gap between simulation and on-vehicle deployment, increasing the reliability of sim-based validation.
Demonstrate excellent design practices
lead technical presentations
Demonstrate excellent design practices; generate technical documentation; lead technical presentations; aligning with stakeholders before, during, and after implementation is essential.

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.
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.
In this role, you'll help build the simulated environments, data pipelines, and interfaces required to evaluate and improve our full-stack driving policy under diverse, realistic conditions.
Strong programming skills in Python and C++, especially for robotics or systems development.
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.
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.

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.

This listing is sourced directly from Tri Source International's careers page and normalized into a canonical job model.