Manager, Simulation Operations

Job description

Job 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.
• Synthesize raw simulation outputs into concise analytical summaries, identifying software regressions, system trends, and edge-case behavior for autonomy leadership and cross-functional teams.
• Proactively identify and integrate AI tools, automated prompt/script generators, and LLM-assisted workflows to accelerate scenario generation, bug triage, and reporting
• 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 key performance indicators (KPIs), and distill technical findings into actionable summaries.

Job requirements

• B.S. in Computer Science, Engineering, Operations Research, Data Analytics, or a related technical field (or equivalent practical experience).
• 5+ years of experience 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, quality assurance frameworks, and executive reporting cadences.
• Demonstrated experience utilizing modern AI tools to expedite team workflows and eliminate manual operational bottlenecks.
• Direct 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.