Senior Simulation Engineer (MuJoCo/IsaacSim)

Overview

Develop high‑fidelity robotic simulation environments and digital twins for humanoid robots.

Key Responsibilities

• simulation development
• algorithm testing
• data analysis
• digital twin
• software engineering
• gym environment

Tasks

-Simulation Development: Design and implement high-fidelity simulation environments for robotic systems, incorporating realistic physics, sensor models, and environmental interactions. -Trend Awareness: Stay informed on current trends in the simulation field and proactively explore their implementation within the company. -Algorithm Testing and Data Analysis: Design and execute simulation-based tests to evaluate robotic algorithms and control systems, and analyze simulation data to gain insights and identify areas for improvement. -Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics -Digital Twin Integration: Develop and maintain interfaces to facilitate the creation of a digital twin for seamless transfer of insights and control strategies between simulation and real robots. -Cross-Team Collaboration: Work closely with other engineers and researchers, especially across multiple teams such as manipulation, locomotion, VLA, Reasoning Design & Hardware, and Control & Integration, to ensure seamless integration of simulation tools into the overall robotic development workflow. -Software Engineering: Write clean, maintainable, and scalable code, utilizing modern software engineering practices and tools. -Gym environment. Design Gym-like environments to support the robot learning team in developing locomotion and manipulation policies.

Requirements

• ros2
• c++/python
• phd
• mujoco
• imitation learning
• 5+ years

What You Bring

We are seeking a highly skilled and motivated Staff/Senior Simulation Robotics Engineer to join our innovative team. The ideal candidate will have a strong background in robotics, simulation, and software development and will be responsible for developing and maintaining advanced simulation environments for robotic systems, enabling the testing and validation of complex robotic behaviors and algorithms. The successful candidate will have the opportunity to work on cutting-edge robotics projects with a talented team in a flexible and supportive work environment with opportunities for professional growth and development. -Experience with gym-like environments for robot learning. -Knowledge of robotic kinematics, dynamics, and control. -Freedom to influence the product and own key initiatives -Deep expertise in ROS2 and the ROS2 Control stack. -Education: B. Sc., Master's or Ph.D. in Robotics, Computer Science, or a related field. -Familiarity with imitation learning, VLA models & Computer Vision techniques. -Strong programming skills in C++, Python -5+ years of experience in robotics simulation and software development, with a proven track record working on mid/large-scale software projects. -Experience with robotic simulation frameworks, such as MuJoCo and Isaac Sim.

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Benefits

In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. -Office perks: free breakfasts, lunches, snacks, and regular team events -Competitive salary plus participation in our Stock Option Plan -Paid vacation with adjustments based on your location to comply with local labor laws -Travel opportunities to our Vancouver and Boston offices

About Humanoid

-Blends advanced AI, multimodal vision reasoning, and modular hardware into a robust platform targeting logistics, manufacturing, and retail. -The company pivots on commercial impact—solving repetitive physical tasks in real settings, not just lab experiments. -A cinematic teaser video set the tone for its vision: human-robot coexistence in everyday environments. -A standout is its modular design allowing interchangeable platforms—wheeled or legged—aimed at rapid and affordable deployment.

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