About the Role

Agility Robotics is building the world's most capable humanoid robots, and we're looking for an engineering leader to build the simulation team to own software at the foundation of it. This is a greenfield role: you'll define the team's charter, create the roadmap, hire and develop its engineers, and establish the infrastructure.

You'll work at the intersection of physics simulation, hardware abstraction, and robot learning - partnering closely with our AI, Controls, Perception Sensors, Hardware Interfaces, Quality Assurance, and Systems Integration teams to build simulation environments that accelerate development, provide insights into the system, and enable rapid validation.

About the Work

• Build and lead a new Simulation team from the ground up - including defining scope, hiring engineers, and establishing team culture and practices
• Architect and own the hardware abstraction layer connecting sensors, actuators, and physical hardware to simulation environments
• Develop and integrate physics simulators using open-source frameworks, with a focus on fidelity, performance, and sim-to-real transfer
• Partner with AI, Controls, Perception Sensors, Hardware Interfaces, and Systems Integration teams to support new robot development and capability expansion
• Define what success looks like for simulation at Agility - tooling, workflows, coverage, and metrics - and drive the team to deliver it
• Develop your engineers: set clear expectations, create growth opportunities, and build a team people want to be part of

About You

Leadership

• Demonstrated experience leading and growing engineering teams, including hiring
• Track record of developing engineers' careers and building high-performing team cultures
• Ability to operate effectively across hardware and software organizations, aligning stakeholders with different technical vocabularies

Technical

• 10+ years of industry experience, with at least 5 years in robotics
• Hands-on experience building or leading simulation infrastructure
• Proficiency in modern C++ and Python
• Experience with at least one major robotics physics simulator (MuJoCo, IsaacSim, Gazebo, or similar)
• Familiarity with standard software development practices: Git, CI/CD, Jira or equivalent, feature branching

Education

• MS or Ph.D. in Robotics, Computer Science, or a related field - or equivalent depth of industry experience

Bonus Points

• Experience with humanoid or legged robots
• Experience with sim-to-real transfer pipelines
• Experience shipping a robotics product to production
• Prior experience building a simulation team or function

This role can be hybrid (3 days on-site per week at one of our offices) or fully remote, with up to one week of travel per month.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Base Salary Range

$208,000-$324,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

• 401(k) Plan: Includes a 6% company match.
• Equity: Company stock options.
• Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
• Benefit Start Date: Eligible for benefits on your first day of employment.
• Well-Being Support: Employee Assistance Program (EAP).
• Time Off:
  • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
  • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
• On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
• Parental Leave: Generous paid parental leave programs.
• Work Environment: A culture that supports flexible work arrangements.
• Growth Opportunities: Professional development and tuition reimbursement programs.
• Relocation Assistance: Provided for eligible roles.
• Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Apply Now: https://grnh.se/b444bbd04us