NVIDIA · 3 months ago
Senior Research Engineer - Autonomous Vehicles
US, CA, Santa Clara
Full-time
Onsite
Senior Level, Lead/Staff
$184K/yr - $288K/yr
10+ years expNVIDIA is a leading technology company known for its innovative work in AI and autonomous vehicles. They are seeking a Senior Research Engineer to develop large-scale training frameworks for autonomous vehicles, focusing on AI models and collaboration with various teams in cutting-edge research.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Develop large-scale supervised learning and reinforcement learning training frameworks to support multi-modal foundation models for AVs capable of running on thousands of GPUs
Optimize GPU and cluster utilization for efficient model training and fine-tuning on massive datasets
Implement scalable data loaders and preprocessors tailored for multimodal datasets, including videos, text, and sensor data
Build and optimize simulation infrastructure (based on GPU-accelerated simulators) to support the training of driving policies for AVs at scale
Collaborate with researchers to integrate cutting-edge model architectures into scalable training pipelines
Develop sim-to-real transfer pipelines and work closely with the AV product team to deploy to real-world cars
Propose scalable solutions that combine LLMs with policy learning
Apply reinforcement learning to finetune multimodal LLMs
Develop robust monitoring and debugging tools to ensure the reliability and performance of training workflows on large GPU clusters
Qualification
Required
Bachelor's degree in Computer Science, Robotics, Engineering, or a related field or equivalent experience
10+ years of full-time industry experience in large-scale MLOps and AI infrastructure
Proven experience designing and optimizing distributed training systems with frameworks like PyTorch, JAX, or TensorFlow
Deep familiarity with reinforcement learning algorithms like PPO, SAC, or Q-learning, including experience tuning hyperparameters and reward functions
Familiarity with common policy learning techniques like reward shaping, domain randomization, curriculum learning
Deep understanding of GPU acceleration, CUDA programming, and cluster management tools like Kubernetes
Strong programming skills in Python and a high-performance language such as C++ for efficient system development
Strong experience with large-scale GPU clusters, HPC environments, and job scheduling/orchestration tools (e.g., SLURM, Kubernetes)
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
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Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-14
Business Standard India
2026-01-14
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