Tech Lead, Simulation Engine

• 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.

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.

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

• 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.

• 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.

• Standard office working conditions which includes but not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
• Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
• Rich retirement benefits, including an immediately vested employer safe harbor match.
• Generous paid parental leave as well as a phased return to work.
• Flexible vacation policy in addition to paid company holidays.
• Total Wellness Program providing numerous resources for overall wellbeing.

Want to learn more about our culture & benefits?

Check out our website!

May Mobility is an equal opportunity employer.

All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.

Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes.

Completion of these questions is entirely voluntary.

Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way.

If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes.

Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click here