About AIM
Everything humanity depends on is mined, dug, or grown. At AIM, we are building the autonomous linchpin of civilization. We transform heavy machinery—bulldozers, loaders, excavators—into AI-powered fleets that operate continuously, safely, and at peak performance in the world’s harshest environments.
AIM runs production mines, large scale infrastructure builds, and defense operations as a TRL9 hardened system, not a science experiment.
Built by engineers from mining, construction, Waymo, SpaceX, Google and Tesla, AIM enables scalable earthmoving, turbocharging the global economy’s physical foundation. AIM is backed by some of the most sophisticated capital in the world, including General Catalyst, Khosla Ventures, Elad Gil, Human Capital, Ironspring Ventures, Mantis, DCVC.
About the Role - Advanced simulation is a critical pillar at AIM, allowing us to move quickly and safely while developing cutting edge control, planning, and safety components. This role requires proven experience with physics and interactive vehicle dynamics, preferably in a high-scale setting.
Responsibilities
As a Senior Robotic Simulation Engineer at AIM you will be expanding the boundaries of what’s possible in advanced, earth-moving robotics by designing and building simulation software for cutting edge autonomy and enabling AI and Robotics engineers to iterate quickly by providing fast, realistic simulation in dynamic and modifiable terrain.
Collaborating with cross-functional teams, including software, hardware, and systems engineers
Working with AI, firmware, and systems engineers to spec and build AIM’s next generation simulation software
Simulating vehicle dynamics and behavior in modifiable terrain
Supporting Hardware-in-the-loop (HIL) testing for firmware through the use of hardware integration interfaces
Building out a reliable, hosted simulation system with the optionality to allow super fast or highly accurate testing of AIM’s autonomous systems
Qualifications
Highly Proficient in C++ programming
Experience using or integrating with a high-level language (e.g. Python or Node)
Experience with a major simulation platform (e.g. Nvidia Omniverse, Unreal, Unity)
Knowledge working with physics engines (e.g. Genesis, Algoryx, ProjectChrono, MuJoCo)
Experience with communication protocols for integration and control (e.g. GRPC, TCP/UDP Sockets)
Familiarity with sensor representation and simulation
Understanding and application of simulation to real-world scenarios
Proficiency in a modern version control system like git
B.S. or higher degree in Computer Science, Engineering, Mathematics, Physics, or equivalent experience
Preferred Skills
Familiarity with real-time computation constraints and GPU accelerated physics. (e.g. CUDA, OpenGL)
Familiarity with soil simulation or analysis
Understanding of numerical computing techniques e.g. finite element method (FEM), Smoothed-particle hydrodynamics (SPH), Discrete element method (DEM)
Machine learning and/or Robotics experience
Knowledge of AI planning, constraint satisfaction, and linear/mixed-integer programming
Distributed systems or services design experience
Experience with 3D model creation
Animation and rigging skills