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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 Competitive salary and benefits package Santa Clara

First indexed 18 May 2026

Description

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

Our breakthroughs are impacting businesses everywhere, helping them work faster, better, and smarter. Join our team. Make an impact.

As a member of our team, you'll be working on projects that involve helping companies use RAPIDS to analyze large datasets and make better business decisions. This could involve working on machine learning models, data structures, and algorithms that can handle large amounts of data.

You'll be part of a team that's passionate about using technology to make a positive impact on the world. We're looking for people who are excited about the possibilities of RAPIDS and want to help us make it a reality.

Responsibilities:

  • Work on projects that involve helping companies use RAPIDS to analyze large datasets and make better business decisions
  • Develop and implement machine learning models, data structures, and algorithms that can handle large amounts of data
  • Collaborate with cross-functional teams to design and develop software solutions
  • Analyze data to identify trends and insights that can inform business decisions

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, Mathematics, or related field
  • Experience with machine learning and data analysis
  • Strong programming skills in languages such as Python or C++
  • Ability to work collaboratively as part of a team
  • Strong problem-solving and analytical skills

Preferred Skills:

  • Experience with RAPIDS and other deep learning frameworks
  • Knowledge of data structures and algorithms
  • Familiarity with cloud-based services and platforms
  • Experience with containerization and orchestration tools
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-HPC-Storage-Engineer_JR2014997