Senior Research Engineer - Autonomous Vehicles

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 184,000 - 356,500 annuallyFunction: Research & Scientific (R&D)Experience: 10+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving"]

Senior research engineer focusing on AI and software for autonomous vehicles, developing large-scale training frameworks, optimizing GPU utilization, and integrating cutting-edge model architectures into scalable pipelines. Works across CUDA-based systems, multimodal data, and simulation infrastructure, collaborating with researchers and product teams to deploy AI advancements into real-world AV applications.

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FursaFursa
NVIDIA
NVIDIA
5 months ago

Senior Research Engineer - Autonomous Vehicles

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Senior research engineer focusing on AI and software for autonomous vehicles, developing large-scale training frameworks, optimizing GPU utilization, and integrating cutting-edge model architectures into scalable pipelines. Works across CUDA-based systems, multimodal data, and simulation infrastructure, collaborating with researchers and product teams to deploy AI advancements into real-world AV applications.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key 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

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •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
Experience:10+ yearsAutonomous vehiclesAI researchMLOps
Education:Bachelor's in Computer Science
Skills:CommunicationCollaborationProblem-solving
Tech Stack:PyTorchJAXTensorFlowCUDAPythonC++KubernetesSLURM

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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