Remote
Manager, Simulation Operations
About this role
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 Manager of Simulation Operations, you will lead and scale the team responsible for scenario creation, test execution, and quality control across May Mobility’s virtual testing ecosystem. You will oversee a hybrid team of full-time engineers and contractors, driving operational excellence across scheduled regression suites and on-demand simulation workflows. In this role, you will build robust simulation evaluation metrics, deliver actionable analysis to cross-functional partners, and continuously elevate operational velocity by leveraging modern AI tools and automated workflows.
Essential Responsibilities Own end-to-end simulation operations, managing multi-cadence test suites (daily, release validation, ad-hoc) to ensure all planned and on-demand requests are delivered on time with high quality. Oversee the intake, generation, tagging, and maintenance of simulation scenarios based on requirements from autonomy, safety, and product teams. Enforce rigorous QA standards over simulation inputs, platforms, and output results; design, track, and elevate unified evaluation metrics to measure simulation fidelity and software stability.