Why RoboForce
RoboForce is an AI robotics company building Physical AI and Robo-Labor system for dull, dirty, and dangerous work. Our flagship robot, TITAN, is a super humanoid robot designed for industrial environments. We are based in Milpitas, CA and require 5 days/week in-office collaboration.
We are seeking a
Technical Lead, Simulation
to lead the efforts towards RoboForce log based simulation system, growing the technology and the team. You will lead the technical direction of log replay simulation, GPU-accelerated model inference in simulation, and the core onboard software infrastructure that bridges real robots, simulation, and AI systems.
Responsibilities
Simulation Architecture & Technical Leadership
- Own the
end-to-end architecture
of RoboForce’s
log-based simulation system
, serving the entire company.
- Design and implement
deterministic, reproducible log replay
for robotics systems, ensuring consistency between real-world execution and simulation.
- Lead the development of
large-scale, in-parallel simulation
, enabling high-throughput evaluation and fast iteration cycles.
- Drive simulation
speed-up techniques
(e.g., parallelism, decoupling, caching, GPU acceleration) while maintaining correctness.
GPU Simulation & Model Inference
- Design simulation pipelines that
run ML model inference inside simulation
, including GPU-backed vision, perception, policy models and VLMs.
- Optimize data flow and scheduling between simulation, model inference, and robotics software stacks.
- Ensure simulation supports realistic timing, latency modeling, and system constraints where required.
Onboard System Stack & Infrastructure
- Own the
onboard software stack
for RoboForce robots, including runtime systems, middleware, and integration with AI models.
- Design shared infrastructure that unifies
real robot execution, log collection, replay, and simulation
.
Requirements
- MS or PhD in Computer Science, Robotics or related field, or equivalent industry experience.
Bonus Qualifications
- Experience with robotics middleware (e.g., ROS2 or custom stacks).
- Experience building simulation infrastructure used for ML training or evaluation.
- Familiarity with physics engines or custom simulators.
- Prior experience owning or leading a
core platform or infrastructure system
.
- Experience working closely with AI / ML teams on large-scale experimentation.
Benefits
- Competitive stock options/equity programs.
- Health, dental, and vision insurance, 401(k) plan.
- Visa sponsorship and green card support for qualified candidates.
- Lunches and dinners, a fully stocked kitchen, and regular team-building events.
