Director, Simulation and Evaluation - Autonomous Driving
Core
Architecting multi-level simulation ecosystems to train, evaluate, and validate next-generation Foundation Models for L2++ and L4 automated driving stacks, ensuring statistical safety and robustness before road deployment.
Role type
Director, Simulation and Evaluation (Autonomous Driving)
Builds
High-throughput closed-loop simulation infrastructure, generative world models, and evaluation frameworks for fleet-wide performance.
Domain
Autonomous Driving / AI Simulation / Generative AI
Deliverable
production ML models
Required skills
Multi-level simulation architecture, Generative AI/World Models, L2++/L4 SoP validation, Embedded systems, Data pipeline engineering, Technical strategy documentation
Preferred skills
High-throughput simulation, GPU-accelerated computing (CUDA), Reinforcement Learning, C++/Python, Global team leadership, Automotive safety standards (ISO 26262, SOTIF)
Technologies
CUDA, Python, C++, Generative AI, World Models
Responsibilities
Define roadmap for high throughput closed-loop simulation; Research methodologies to assess ML model quality and safety; Architect evaluation frameworks and build infrastructure; Lead development of World Models for edge case prediction; Establish gold standard evaluation for production release; Lead and mentor cross-functional global teams.
Seniority
Director, strategic leadership with hands-on technical expertise
