Director, Simulation and Evaluation - Autonomous Driving

What you'll do

• Define the roadmap for high-throughput, closed-loop simulation and evaluation of automated-driving systems.
• Develop evaluation frameworks, World Models, and simulation data pipelines to assess model safety, realism, and performance.
• Lead a global cross-functional team and establish evaluation standards for production release decisions.

What they ask for

• Master’s or PhD in a listed quantitative field or a related field.
• 10+ years of software engineering experience focused on embedded systems, automotive, or robotics.
• 7+ years leading complex software projects from concept to production in ADAS or Autonomous Driving.
• Hands-on L2++ or L4 Start of Production experience overseeing simulation, testing, and validation; 5+ years developing or evaluating large-scale AI, LLMs, or World Models/Generative AI models for simulation and behavioral prediction.

Nice to have

• 5+ years with high-throughput simulation, CUDA, parallel computing, and Reinforcement Learning (RL); mastery of C++ and Python.
• 5+ years managing and mentoring global multidisciplinary teams; working knowledge of ISO 26262 or SOTIF.

Pay

$240,000-300,000 USD base salary

Tools

L2++, L4, CUDA, Reinforcement Learning (RL), C++, Python, ISO 26262, SOTIF

AI focus

Leads development and evaluation of Foundation Models and generative World Models for autonomous-driving simulation, including behavioral prediction, edge-case generation, and safety validation.