Technical skills
About this role
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
About The Role
We design robots in simulation before building them in hardware.
As a Robotics Simulation & RL Engineer, you will help design and validate future generations of our robotic platforms - including bipedal and wheeled systems - using physics simulation and reinforcement learning.
You will develop tools to determine whether a robot design can perform real-world tasks before committing to hardware. Your work will directly inform robot architecture, actuator selection, sensor placement, and control strategies.
A key responsibility of this role is owning and validating the canonical robot models (URDF and simulation assets) used across simulation and control stacks.
What You’ll Do
- Design and evaluate new robot platforms using physics simulation
- Analyze robot capabilities including workspace, manipulability, dynamic balance, and torque limits
- Use reinforcement learning to stress-test robot designs and explore capability limits
- Own and maintain URDF models of current and future robot platforms
- Maintain the CAD → URDF → simulation pipeline
- Develop tools and benchmarks to evaluate locomotion, manipulation, and platform robustness
- Provide quantitative feedback to hardware teams on actuator sizing, joint placement, mass distribution, and sensor layout
- Collaborate with mechanical, control, and perception teams to guide platform design decisions
What We're Looking For
-
M.Sc. or Ph.D. in Robotics, Mechanical Engineering, Control, or a related field
- Strong foundation in robot kinematics and dynamics
- Experience with robot simulation environments (MuJoCo, Isaac Sim, Gazebo, or similar)
- Experience with reinforcement learning in robotics or physics-based simulation
- Experience working with URDF or similar robot description formats
- Strong programming skills in Python and/or C++
- Experience training RL locomotion or manipulation policies
Nice to have
- Experience with legged, humanoid, or wheeled robots
- Experience with whole-body control or torque-controlled robots
- Experience with simulation-driven hardware design
- Experience building large-scale RL training pipelines.
What We Offer
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with a 4% employer match.
- Equity included–we believe builders should share in what they build.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the target base salary range is $200K–$300K USD per year; your placement in that range depends on how your experience maps to our internal leveling.