Senior Research Engineer - Autonomous Vehicles

NVIDIA

Us, CA, United States
Base: 184,000 usd - 287,500 usd (level 4), 224,000...
Large-scale distributed training systems
Reinforcement learning algorithms expertise
Gpu acceleration and cuda programming
You will develop scalable supervised and reinforcement learning frameworks to support multi-modal foundation models for autonomous vehicles running on thousands of GPUs

Job Summary

  • You will develop scalable supervised and reinforcement learning frameworks to support multi-modal foundation models for autonomous vehicles running on thousands of GPUs.
  • The position offers freedom to conduct groundbreaking publishable research while impacting AI products across diverse domains such as robotics, healthcare, and autonomous driving.
  • NVIDIA fosters an open and nurturing research atmosphere encouraging collaboration and values diversity as an equal opportunity employer.

Matching Summary

You will develop scalable supervised and reinforcement learning frameworks to support multi-modal foundation models for autonomous vehicles running on thousands of GPUs.

Salary

Base: 184,000 USD - 287,500 USD (Level 4), 224,000 USD - 356,500 USD (Level 5); Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • Large-scale distributed training systems
  • Reinforcement learning algorithms expertise
  • GPU acceleration and CUDA programming
  • Python and C++ programming skills
  • Multi-modal foundation models for AVs
  • Cluster management with Kubernetes and SLURM

Nice-to-have

  • Collaboration with multidisciplinary teams
  • Publishing at top scientific venues
  • Sim-to-real transfer pipelines
  • AI safety and closed-loop training approaches
  • Experience with HPC environments
  • Interest in advancing AI research

Key Requirements

  • Bachelor's degree or equivalent experience
  • 10+ years industry experience in large-scale MLOps and AI infrastructure
  • Experience with PyTorch, JAX, or TensorFlow
  • Deep knowledge of PPO, SAC, Q-learning algorithms
  • Familiarity with policy learning techniques
  • Strong experience with GPU clusters and job orchestration
  • Not specified work authorization

Work Rights

Not specified

Tailored Resume

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