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Senior/Staff Research Engineer

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Onsite

Senior/Staff Research Engineer

Plus

Senior/Staff Research Engineer

Skills

Deep LearningPyTorchTensorFlowAI

1 month ago

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Important information


Salary:

$170,000 – $260,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

1 October 2026

What they need


Who you are

  • M.S. minimum, Ph.D. preferred in CS, EE, Mathematics, Statistics, or a related field
  • 3+ years implementing and training models in a deep learning framework (PyTorch, TensorFlow, or JAX)
  • Direct, hands-on experience training vision-language / vision-language-action models
  • Hands-on experience with model training, evaluation, and deployment in production
  • Thorough understanding of state-of-the-art vision-language / VLA models, diffusion, flow matching, and transformers
  • Experience with large-scale / distributed model training
  • Model distillation, quantization, and inference optimization (ONNX/TensorRT, mixed precision, custom kernels)
  • SFT and RL post-training of large multimodal models
  • Hands-on experience with multi-modal sensor data (camera, LiDAR, radar)
  • Publications at top venues (CVPR, NeurIPS, ICML, ICLR, CoRL, RSS, ICRA)
  • Autonomous driving / ADAS experience

What the job involves

  • You will join our core AI team at the frontier of autonomous decision-making, building the Vision-Language-Action (VLA) models that form SuperDrive's reasoning layer
  • You'll train VLA models that generate high-level driving decisions and trajectory guidance for on-board strategic decision-making, and design the knowledge distillation and compression techniques that transition large models onto on-board compute
  • Design, train, and evaluate Vision-Language-Action models that generate high-level driving decisions and trajectory guidance in support of Plus's reasoning layer
  • Own a VLA workstream end to end — data, architecture, large-scale training, and on-vehicle validation
  • Build training and evaluation pipelines and rigorous metrics for VLA performance in driving contexts
  • Develop distillation and compression recipes to deploy large reasoning models on on-board compute
  • Apply SFT and RL post-training to improve reasoning, robustness, and long-tail behavior
  • Collaborate with perception, planning, and platform teams to bring models from research to production

Benefits

  • Unlimited PTO: Unlimited paid time off on top of company holidays to recharge and enjoy as needed
  • Flexible working: Flexibile work arrangements and technology to help manage life's demands at the office and remote
  • Health benefits: Tiered options in medical, dental, and vision insurance to fit your unique needs
  • Future building: Equity, 401k and FSA options for all eligible employees to help build for your future
  • Professional development: Company-sponsored professional development opportunities such as conferences, training, and workshops
  • Catered lunches: Daily catered lunches at both of our Santa Clara and Fremont offices

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