Senior Robotics Simulation Lead — Build Next-Gen Humanoids

Agility Robotics; United States; Hybrid; USD 208,000 - 324,000; Full time

Benefits offered by this job

401(k) Plan with company match

Company equity options

Medical, dental, vision, disability -

Generous PTO & holidays

Job summary

Agility Robotics is seeking an engineering leader to build and head a new Simulation team, defining the charter, roadmap, and hiring plan. The role sits at the intersection of physics simulation and robot learning, partnering across multiple engineering domains to accelerate development and validation.

You will architect the hardware abstraction layer, integrate open-source physics simulators, and drive sim-to-real transfer improvements while shaping team culture and practices.

Qualifications

• 10+ years industry experience, 5+ years in robotics.
• Hands-on experience building or leading simulation infrastructure.
• Proficiency in modern C++ and Python.
• Experience with robotics physics simulators (MuJoCo, IsaacSim, Gazebo).
• Familiarity with Git, CI/CD, Jira or equivalent.

Responsibilities

• Build and lead a new Simulation team from the ground up, defining scope and hiring engineers.
• Architect and own hardware abstraction layer connecting sensors, actuators and hardware to simulation.
• Develop physics simulators focusing on fidelity, performance, and sim-to-real transfer.
• Collaborate with AI, Controls, Perception Sensors, Hardware Interfaces and Systems Integration teams.
• Define success metrics for simulation tooling and workflows and drive delivery.
• Develop engineers through clear expectations and growth opportunities.

Skills

C++

Python

Robotics simulation

Git

CI/CD

Jira

Physics simulation

Education

MS or PhD in Robotics/CS

Tools

MuJoCo

IsaacSim

Gazebo

Job description

Agility Robotics is seeking an engineering leader to build and head a new Simulation team, defining the charter, roadmap, and hiring plan. The role sits at the intersection of physics simulation and robot learning, partnering across multiple engineering domains to accelerate development and validation.

You will architect the hardware abstraction layer, integrate open-source physics simulators, and drive sim-to-real transfer improvements while shaping team culture and practices.