Senior Robotics Simulation Engineer - Hybrid

Agility Robotics; Fremont (CA); Hybrid; USD 144,000 - 225,000; Full time

Benefits offered by this job

401(k) Plan with company match

Equity / stock options

Healthcare coverage (company-paid)

Well-being & EAP

Job summary

Agility Robotics is building humanoid robots and seeks a senior engineer to help build the simulation software foundation. You’ll be among the first on the new Simulation team, shaping direction, architecture, and infrastructure.

You’ll work at the intersection of physics simulation, hardware abstraction, and robot learning, partnering with multiple teams to build environments that accelerate development and enable rapid validation. This is a hybrid role with three on-site days per week.

Qualifications

• 2+ years in robotics, simulation, or a related field.
• Proficiency in C++ and Python.
• Experience with robotics physics simulators.
• BS, MS, or PhD in Robotics, CS, or ME.

Responsibilities

• Design, build, and own core components of the simulation stack.
• Develop the hardware abstraction layer connecting sensors, actuators, and hardware to simulation.
• Develop and integrate physics simulators with focus on fidelity, performance, and sim2real transfer.
• Build and maintain high-fidelity models of robots including kinematics, dynamics, and contact behavior.
• Build robust automated pipelines from hardware design to model to system-identification.
• Use simulation to train RL policies, generate synthetic data, and evaluate end-to-end models.
• Validate models against physical hardware data and improve fidelity where needed.

Skills

C++

Python

Robotics software

Simulation

Hardware abstraction

Education

BS/MS/PhD in Robotics/CS/ME

Tools

MuJoCo

Gazebo

Isaac Sim

URDF

Job description

Agility Robotics is building humanoid robots and seeks a senior engineer to help build the simulation software foundation. You’ll be among the first on the new Simulation team, shaping direction, architecture, and infrastructure.

You’ll work at the intersection of physics simulation, hardware abstraction, and robot learning, partnering with multiple teams to build environments that accelerate development and enable rapid validation. This is a hybrid role with three on-site days per week.