Senior Machine Learning and Simulation Engineer - Autonomous Vehicles
Core
Design and optimize large-scale Reinforcement Learning (RL) training frameworks and simulation pipelines to train end-to-end autonomous vehicle models.
Role type
Senior IC machine learning and simulation engineer (autonomous vehicles)
Builds
Closed-loop RL training frameworks and simulation environments for AV foundation models
Domain
Autonomous vehicles, Reinforcement Learning, High-Performance Computing
Deliverable
production ML models
Required skills
Reinforcement Learning algorithms (PPO, GRPO), C++, Python, GPU cluster management, HPC environments, job scheduling/orchestration (Kubernetes, SLURM), reward function design, simulation quality measurement
Preferred skills
RL infrastructure, LLM training/fine-tuning infrastructure, closed-loop evaluation of end-to-end models, large-scale data pipeline development, algorithm optimization
Technologies
NuRec, Traffic Models, Cosmos World Model, Kubernetes, SLURM
Responsibilities
Lead design and development of large-scale RL training frameworks; Design, build, and optimize simulation and data processing pipelines; Measure and enhance simulation quality and refine reward functions; Ensure reliability and performance of training workflows on large GPU clusters; Partner with researchers to integrate state-of-the-art model architectures
Seniority
Senior, hands-on IC