Tech Lead Software Engineer, Simulation

Why Robo Force

Robo Force 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 Robo Force 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.

• Simulation Architecture & Technical Leadership
  • Own the end-to-end architecture of Robo Force’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 Robo Force robots, including runtime systems, middleware, and integration with AI models.
  • Design shared infrastructure that unifies real robot execution, log collection, replay, and simulation.
  • Establish clear interfaces and contracts between onboard systems, simulation, and AI pipelines.
• Cross‑Team Leadership & Execution
  • Act as the technical point of ownership for simulation across AI, robotics software, and hardware teams.
  • Set engineering standards for determinism, performance, testing, and debuggability.
  • Mentor engineers working on simulation and onboard systems.
  • Partner with AI teams to ensure simulation supports training, evaluation, and research needs.

• MS or PhD in Computer Science, Robotics or related field, or equivalent industry experience.
• 7+ years of experience building complex systems in robotics, simulation, or high-performance software.
• Strong expertise in C++ and system-level software design.
• Experience designing deterministic simulation or replay systems.
• Deep understanding of parallel systems, concurrency, and performance optimization.
• Experience integrating GPU workloads (e.g., CUDA, Tensor
  
  RT, PyTorch inference) into production systems.
• Strong system thinking across software, hardware, and ML boundaries.
• Requires 5 days/week in-office collaboration with the teams.

• 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.

• 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.