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Key Responsibilities:

  • Collaborate with our ADAS stack engineering team to test and deploy end-to-end algorithms for mass production vehicles
  • Collaborate with our simulation team to deploy data-driven generation algorithms for highly efficient and automated tools
  • Conduct research on architecture design, robustness, safety, and language modality incorporation for our differentiable stack
  • Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences

Key Requirements:

  • Experience with end-to-end autonomy, multi-view perception, 3D reconstruction, diffusion model for sensory generation, and/or closed-loop behavior generation
  • A passion for scalable, data-driven autonomy for real-world systems
  • Strong research skills and the ability to work both independently and collaboratively on projects

Nice to have:

  • MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
  • Hands-on experience of imitation/reinforcement learning, behavior prediction, and closed-loop simulation
  • Experience with training with large-scale data and ML models and/or applying language modality in AV stacks
  • Passion for building and shipping customer-focused software frameworks or tools

Salary

Competitive

Monthly based

Location

Mountain View, California, United States

Job Overview
Job Posted:
4 months ago
Job Type
Full Time
Job Role
Education
Bachelor Degree
Experience
3 - 5 Years
Slots...
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Location

Mountain View, California, United States