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NVIDIA

Help companies of all sizes embrace industry-changing technologies like RAPIDS to analyze massive amounts of data to make better, faster business decisions.

NVIDIA
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onsite mid full-time Santa Clara

First indexed 18 May 2026

Description

Help companies of all sizes embrace industry-changing technologies like RAPIDS to analyze massive amounts of data to make better, faster business decisions.

Join our team of experts who are pushing the boundaries of what's possible with artificial intelligence (AI) and deep learning. As a member of our team, you'll have the opportunity to work on cutting-edge projects that are transforming entire industries.

Our team is passionate about using AI and deep learning to solve some of the world's hardest problems. We're looking for talented individuals who share our passion and want to join us on this exciting journey.

Responsibilities:

  • Help companies of all sizes embrace industry-changing technologies like RAPIDS to analyze massive amounts of data to make better, faster business decisions.
  • Collaborate with cross-functional teams to design and develop innovative solutions that meet the needs of our customers.
  • Stay up-to-date with the latest advancements in AI and deep learning and apply this knowledge to drive business growth.

Benefits:

  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technology and resources

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 2+ years of experience in AI, deep learning, or related field
  • Strong programming skills in languages such as Python, C++, or Java
  • Experience with machine learning frameworks such as TensorFlow or PyTorch
  • Excellent communication and teamwork skills

Preferred Skills:

  • Experience with cloud-based services such as AWS or Azure
  • Knowledge of data science and analytics tools such as Tableau or Power BI
  • Familiarity with agile development methodologies
  • Experience with containerization using Docker