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 AI systems are statistically proven safe and robust before 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 / Artificial Intelligence / Simulation Engineering
Deliverable
production ML models
Required skills
L2++ or L4 system Start of Production (SoP) oversight, multi-level simulation platforms (sensor-level and object-level), large-scale AI/LLM/World Model development, data-driven report writing for executive decision-making, embedded systems, automotive software engineering.
Preferred skills
high-throughput simulation, GPU-accelerated technologies (CUDA), parallel computing, Reinforcement Learning (RL), C++, Python, automated data pipelines, global team management, automotive safety standards (ISO 26262, SOTIF).
Technologies
CUDA, Python, C++, ISO 26262, SOTIF
Responsibilities
Define roadmap for high throughput, closed-loop simulation; Research and propose new methodologies to assess quality, safety, and realism of ML models; Build infrastructure and tools for rapid iteration of Foundation Models; Lead development of World Models to predict and generate complex edge cases; Establish evaluation standards informing Start of Production (SoP) and model release decisions; Lead, mentor, and inspire a cross-functional global team of SWEs, Data Scientists, and ML experts.
Seniority
Director, strategy & global technical leadership
