NVIDIAHiring

Senior Libraries Engineer, AI and HPC

  • Remote, Europe
  • Senior
  • Posted 2 weeks ago
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In one line

Build and tune GPU and CPU accelerated libraries for image processing, computer vision and scientific work, with CUDA and C++.

About the role

Fits an engineer who likes numerical algorithms and cares about speed on real hardware. The team ships libraries used by commercial and academic groups, and this role also guides other engineers.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, Europe
Seniority
Senior
Skills
CUDA, Python, CI/CD, Jira
Posted
19 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Develop scalable library code for numerical methods using modern tools and languages
  • Tune, optimize and benchmark algorithms across different architectures
  • Work with leadership and outside partners on feature needs and library roadmaps
  • Give technical direction and mentoring to library engineers
  • Look for ways to improve library performance and the user experience

What they look for

  • PhD or MSc in computational science, computer science, applied math or a related field, or equivalent experience
  • Five or more years building, debugging and optimizing parallel numerical applications with GPU acceleration in CUDA
  • C and C++ programming and software development skills
  • A record of leading software projects through to completion
  • Strong habits in collaboration, communication and documentation

Nice to have

  • Knowledge of CPU or GPU hardware architecture, CI/CD, JIRA, distributed teams, profiling and testing, and Python

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Questions about this job

Is this job fully remote, and from where?

Yes, it is listed as remote, aimed at candidates in Europe.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: phD or MSc in computational science, computer science, applied math or a related field, or equivalent experience; five or more years building, debugging and optimizing parallel numerical applications with GPU acceleration in CUDA; c and C++ programming and software development skills. Skills it names include CUDA, Python, CI/CD, Jira.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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