Senior Research Engineer - Autonomous Vehicles
Core
Developing large-scale AI training frameworks and simulation infrastructure for autonomous vehicle foundation models and end-to-end driving policies.
Role type
Senior Research Engineer (AI Infrastructure & Simulation)
Builds
Scalable multi-modal foundation models for AVs, GPU-accelerated simulators, and sim-to-real transfer pipelines.
Domain
Autonomous Vehicles, Deep Learning, Reinforcement Learning, High-Performance Computing
Deliverable
production ML models | infrastructure
Required skills
Distributed training system design, Reinforcement learning algorithms, GPU/CUDA programming, Cluster management, Python, C++, Multimodal data processing
Preferred skills
LLM integration, Policy learning techniques, HPC environments
Technologies
PyTorch, JAX, TensorFlow, CUDA, Kubernetes, SLURM, GPU clusters
Responsibilities
Develop large-scale supervised and reinforcement learning training frameworks; Optimize GPU and cluster utilization for massive dataset training; Implement scalable data loaders for multimodal sensor data; Build and optimize GPU-accelerated simulation infrastructure; Collaborate on integrating model architectures into training pipelines; Develop sim-to-real transfer pipelines for real-world deployment; Propose scalable solutions combining LLMs with policy learning; Develop monitoring and debugging tools for training workflows.
Seniority
Senior, hands-on IC