NVIDIA

NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Systems Analytics and Data Intelligence. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior Deep Learning Engineer – Computer Vision

Full TimeRemoteTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

California + 1 moreAll locations: California, Washington

Posted

4 days ago

Salary

$184K - $287.5K / year

Postgraduate Degree8 yrs expEnglishPythonPy TorchTensorflow

Job Description

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas. • Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models. • Taking approaches from initial evaluation and experimentation all the way to shipping. • Defining and collecting training datasets. • Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).

Job Requirements

  • MS or PhD in Computer Science or equivalent experience
  • 8+ years of proven experience building robust software
  • Passionate about Artificial Intelligence for robotics and autonomous navigation
  • Strive to learn new things and like solving hard problems
  • Math knowledge
  • Experience in Deep Learning / Machine Learning
  • Background in Computer vision and/or Planning/Control
  • Programming and debugging skills in C++ and/or Python
  • Good communication and analytical skills
  • Ability to work with multiple teams in a dynamic environment.

Benefits

  • Comprehensive benefits package
  • Equity options

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