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
- Standard office working conditions which includes but not limited to:
- Prolonged sitting
- Prolonged standing
- Prolonged computer use
- Travel Required? Moderate: 11%-25%
Benefits and Perks
- 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
Skills Required
- B.S., M.S. or Ph.D. in Computer Science, Robotics, Mechanical/Aerospace Engineering, Physics, or related technical field
- 5+ years hands-on software engineering experience focused on simulation, robotics, or physics-based systems
- Expert-level proficiency in modern C++
- Expert-level proficiency in Python
- Hands-on experience with simulation loop design, vehicle dynamics, or integrating with robotics middleware and external engines
- Strong software architecture skills for large, modular simulation or robotics systems, including determinism and reproducibility
- Prior experience leading and mentoring engineering teams
- Solid grounding in vehicle dynamics, multi-body physics, or related numerical modeling
- Background in autonomous vehicles or advanced robotics
- Experience with high-fidelity rendering or sensor-simulation pipelines
- Familiarity with ML integration in simulation (data-driven agents, scene reconstruction)
- Experience with hardware-in-the-loop (HiL) testing
- Knowledge of deterministic and real-time computing
May Mobility Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about May Mobility and has not been reviewed or approved by May Mobility.
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Healthcare Strength — Core health coverage is employer-paid for medical, dental, and vision, with HSA/FSA options and a vendor-supported wellness program. Domestic-partner eligibility and life/disability coverage round out a robust health and wellbeing foundation.
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Leave & Time Off Breadth — Time off is expansive, combining flexible 'unlimited' PTO with 15 paid company holidays. Paid parental leave and early-weeks meal reimbursement add tangible family-supporting time-off value.
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Fair & Transparent Compensation — Pay is considered competitive for specialized technical roles, with employer-posted six-figure ranges and equity for engineers and similar positions. Market-aligned packages for senior technical tracks support a generally positive view in those cohorts.
May Mobility Insights
What We Do
May Mobility is a leader in the development and deployment of autonomous vehicle (AV) technology. We aim to transform cities and make transit more safe, sustainable, accessible and equitable for everyone by building a better AV technology that works in the real world. We have delivered more than 335,000 autonomy-enabled rides to date across 11 cities in the U.S. and Japan.
Why Work With Us
May Mobility is a place where innovators, creators, and tech visionaries work together towards a common purpose: to create a safer, greener, and more accessible world. Join our team and make a real impact.
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