Tech Lead, Simulation Engine

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary As Lead Simulation Engineer, you will architect and scale our core autonomous vehicle simulation engine, adapter layers, and unified evaluation metrics backend. You will drive the development of high-fidelity vehicle dynamics, multi-body physics, rendering, and sensor-simulation pipelines while guaranteeing stack-wide determinism and performance. Additionally, you will set technical direction for the simulation team, oversee code and design reviews, collaborate with Hardware-in-the-Loop (HiL) partners on integration hooks, and mentor engineers across the organization. Essential Responsibilities Architect and maintain the core simulation engine and the adapter layer that integrates it with the vehicle's autonomy middleware. Lead development of advanced ego-vehicle dynamics and multi-body physics models, and integrate external high-fidelity rendering and sensor-simulation engines. Own the mathematical logic and backend execution framework behind a unified metrics system for evaluating simulation results. Set the technical direction for the simulation engine, uphold determinism and performance across the stack, and lead design and code reviews. Partner with the Hardware-in-the-Loop (HiL) team on integration hooks, and mentor engineers across the team. Skills and Abilities Success in this role typically requires the following competencies: Success in this role typically requires the following competencies: Deep expertise in modern C++ and Python for performance-critical systems programming. Strong software architecture skills for large, modular simulation or robotics systems, including deterministic, reproducible environments. Solid grounding in vehicle dynamics, multi-body physics, or related numerical modeling. Familiarity with autonomy or robotics middleware and integrating heterogeneous components into a coherent system. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Qualifications: B.S., M.S. or Ph.D. Degree in Computer Science, Robotics, Mechanical/Aerospace Engineering, Physics, or a related technical field. 5+ years of hands-on software engineering experience with a strong focus on simulation, robotics, or physics-based systems. Expert-level proficiency in modern C++ and Python, with a track record of architecting large-scale, performance-critical software. Hands-on experience with simulation loop design, vehicle dynamics, or integrating with robotics middleware and external engines. Prior experience leading and mentoring engineering teams. Desirable Qualifications: Background in autonomous vehicles or advanced robotics. Experience with high-fidelity rendering or sensor-simulation pipelines. Familiarity with ML integration in simulation, such as data-driven traffic agents or scene reconstruction. Experience with hardware-in-the-loop (HiL) testing. Knowledge of deterministic and real-time computing. Physical Requirements…