Manager, Simulation Operations
May Mobility · Ann Arbor, MI - Remote
About this role
**May Mobility — Manager, Simulation Operations** May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, we develop and deploy autonomous vehicles (AVs) powered by our Multi-Policy Decision Making (MPDM) technology. --- ## 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’ll oversee a hybrid team of full-time engineers and contractors, build robust simulation evaluation metrics, deliver actionable analysis to cross-functional partners, and improve operational velocity using 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 deliver planned and on-demand requests 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 and elevate unified evaluation metrics to measure simulation fidelity and software stability. - Synthesize raw simulation outputs into concise analytical summaries, identifying software regressions, system trends, and edge-case behavior. - Proactively integrate AI tools, automated prompt/script generators, and LLM-assisted workflows to accelerate scenario generation, bug triage, and reporting. --- ## Skills and Abilities - Proven capability to lead technical operations, software QA, or data pipeline teams under strict delivery timelines. - Hands-on experience directing hybrid teams (FTEs + vendors/contractors), managing SLAs, and building onboarding curriculum. - Strong ability to analyze complex simulation data, construct KPIs, and distill technical findings into actionable summaries. - Familiarity with simulation execution loops, scenario editors, or software-in-the-loop (SiL) testing workflows. --- ## Qualifications and Experience **Required** - B.S. in Computer Science, Engineering, Operations Research, Data Analytics, or related field (or equivalent practical experience). - 5+ years in technical operations, software QA/testing management, or data operations. - 2+ years of direct people management experience overseeing full-time engineers and contingent/contractor workforces. - Proven track record establishing operational metrics, QA frameworks, and executive reporting cadences. - Demonstrated experience using modern AI tools to expedite workflows and remove manual bottlenecks. **Desirable** - Experience in Autonomous Vehicles, Robotics, Aerospace, or Gaming simulation environments. - Experience managing vendor SOWs, SLA tracking, and contractor scaling strategy. - Familiarity with scenario description formats (e.g., OpenSCENARIO) or synthetic data generation pipelines. --- ## Physical Requirements Standard office working conditions, including prolonged sitting, standing, and computer use. --- If you’d like, share the application link or location details you want included and I can update the Discord post format.
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