Senior Robotic Simulation Engineer

Location: Seattle, United States

Company

hirify.global develops autonomous AI-powered fleets for heavy machinery used in mining, construction, infrastructure, and defense operations.

What you will do

• Design and build simulation software for autonomous earth-moving robotics.
• Develop fast, realistic simulations of vehicle dynamics and behavior in dynamic, modifiable terrain.
• Collaborate with software, hardware, systems, AI, and firmware engineers on next-generation simulation systems.
• Support hardware-in-the-loop testing for firmware through hardware integration interfaces.
• Build a reliable hosted simulation system supporting both rapid iteration and highly accurate autonomous-system testing.

Requirements

• Highly proficient in C++.
• Experience using or integrating a high-level language such as Python or Node.
• Experience with a major simulation platform such as Nvidia Omniverse, Unreal, or Unity.
• Knowledge of physics engines such as Genesis, Algoryx, ProjectChrono, or MuJoCo.
• Experience with integration and control protocols, including gRPC or TCP/UDP sockets.
• Familiarity with sensor representation and simulation, real-world simulation applications, Git, and a degree in computer science, engineering, mathematics, physics, or equivalent experience.

Nice to have

• Experience with real-time computation constraints and GPU-accelerated physics, including CUDA or OpenGL.
• Familiarity with soil simulation or analysis and numerical methods such as FEM, SPH, or DEM.
• Machine learning, robotics, AI planning, constraint satisfaction, or linear and mixed-integer programming experience.
• Distributed systems or services design experience.
• Experience with 3D model creation, animation, or rigging.

Culture & Benefits

• Work on production-grade autonomous systems deployed in mining, infrastructure, and defense operations.
• Collaborate with engineers across software, hardware, systems, AI, and firmware disciplines.
• Develop technology intended to operate continuously and safely in harsh real-world environments.