Member of Technical Staff – Simulation Engineer (Robotics)

Location: On-site in San Francisco, California, United States

Company

hirify.global develops interactive world models and simulation infrastructure for robotics, embodied AI, digital twins, and intelligent virtual environments.

What you will do

• Design and develop high-fidelity simulation environments for robotics training, evaluation, perception, navigation, manipulation, and embodied AI.
• Model robot dynamics, sensors, contacts, physics, and environmental interactions, then calibrate and validate outputs against real-world robot behavior.
• Build scalable workflows and production-quality tooling for simulation creation, execution, evaluation, robot learning, and synthetic data generation.
• Develop benchmarks for robotics models and improve policy transfer through calibration, benchmarking, and domain randomization.
• Collaborate with robotics, machine learning, world model, AI systems, and research teams.
• Optimize simulation performance, reliability, testing, scalability, and physical realism.

Requirements

• Experience building robotics simulation systems for robotics, autonomy, embodied AI, or physical AI.
• Experience with robotics simulators such as Isaac Sim, MuJoCo, PyBullet, Gazebo, Drake, or equivalent.
• Understanding of robot dynamics, physics simulation, sensor modeling, and sim-to-real transfer.
• Strong software engineering skills in Python, C++, or similar languages, with experience writing reliable, maintainable, and well-tested production software.
• Strong systems thinking and problem-solving skills, with the ability to work closely with robotics, machine learning, and research teams.

Nice to have

• Experience with NVIDIA Isaac Sim or Omniverse and GPU-accelerated simulation.
• Experience generating synthetic data for robotics or machine learning.
• Experience with domain randomization or procedural environment generation.
• Familiarity with ROS2 and modern robotics software stacks.
• MS or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field.

Culture & Benefits

• On-site, in-person collaboration with the team based in San Francisco.
• Work at the intersection of robotics, embodied AI, interactive 3D worlds, world models, and simulation infrastructure.
• Build foundational simulation systems for robot learning, evaluation, synthetic data generation, and physical AI.
• Collaborate across engineering, robotics, AI, and research disciplines.