Senior Machine Learning and Simulation Engineer - Autonomous Vehicles
Core
Designing and optimizing large-scale Closed-Loop Simulation-based Reinforcement Learning (RL) frameworks to train advanced end-to-end autonomous vehicle (AV) models.
Role type
Senior Machine Learning and Simulation Engineer (Autonomous Vehicles)
Builds
Scalable RL training frameworks, simulation pipelines, and data processing systems for AV foundation models.
Domain
Autonomous Vehicles, Reinforcement Learning, High-Performance Computing
Deliverable
production ML models
Required skills
Reinforcement Learning (PPO, GRPO), C++, Python, Large-scale GPU cluster management, HPC environments, Job scheduling/orchestration (Kubernetes, SLURM), Reward function design, Simulation quality measurement, Multi-modal model training
Preferred skills
RL infrastructure or LLM training/fine-tuning experience, Simulation & 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 GPU clusters; Partner with researchers to integrate model architectures into training pipelines
Seniority
Senior, hands-on IC
