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NVIDIA

Machine Learning Engineer, Data Curation - Autonomous Vehicles

Santa Clara, CA $152k - $288k/yr Full time Posted 1h ago

Job Description

Join NVIDIA’s Autonomous Vehicles Data Curation team to apply deep learning to search, curate, and evaluate datasets and ground truth that support self-driving car capabilities.

Responsibilities

  • Keep current with deep learning research and innovations; implement and experiment with new ideas
  • Work with researchers and engineers to convert research into reliable, industrial-strength machine learning models
  • Take machine learning work from initial evaluation and experimentation through to shipping
  • Define, collect, and curate training and evaluation datasets, emphasizing scenario coverage and label quality
  • Develop vision-language models and embeddings to enable scenario search, classification, and automated data curation
  • Build training pipelines and scalable inference systems using PyTorch, TensorFlow, TensorRT, Python, and C++

Requirements

  • PhD with 1+ year of relevant experience, or MS (or equivalent experience) with 5+ years in a related technical field
  • Relevant fields: Computer Science, Computer Engineering, or closely related technical discipline
  • Proven experience building robust software
  • Interest in Artificial Intelligence for robotics and autonomous navigation
  • Motivation to learn new topics and solve hard problems
  • Knowledge of mathematics
  • Experience in Deep Learning / Machine Learning, including background in Computer Vision and/or multimodal learning
  • Programming and debugging skills in C++ and/or Python
  • Strong communication and analytical skills; ability to collaborate with multiple teams in a dynamic environment

Technologies

  • PyTorch
  • TensorFlow
  • TensorRT
  • Python
  • C++

Benefits

  • Equity and benefits
  • Comprehensive benefits package

Ways to Stand Out

  • Experience applying state-of-the-art AI methods to Computer Vision and Autonomous Vehicles problems
  • Experience with Unsupervised or Self-supervised Learning and contrastive representation learning
  • Experience with vision-language models, agentic search, or automated dataset quality evaluation

Location: Santa Clara, CA (onsite)

Salary: USD 152,000 - 287,500 per year

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