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NVIDIA

Senior Libraries Engineer – AI and HPC

NVIDIA is hiring a Senior Libraries Engineer – AI and HPC for a remote role open to applicants in Poland. It pays PLN 221k-PLN 384k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • This is listed as a remote role.
  • The posting mentions CUDA, C and Python among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

Design, develop, and optimize GPU-accelerated software libraries supporting AI and high-performance computing workflows.

cudacpythonjira
computer-visionhpcgpu-accelerationsoftware-librariesoptimization

Join our multidisciplinary team and help build and improve GPU and CPU accelerated data processing software libraries. Projects like DALI or nvImageCodec are used in all kinds of processing workflows and support NVIDIA's vision and growth.

Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide. In this role, you will design, develop, and optimize pioneering algorithms. Ideal candidates will have experience with accelerated computing and a passion for advancing the state-of-the-art in various computing domains. If this sounds exciting, we would love to meet you!

What you’ll be doing:

  • Developing scalable library software using modern tools and languages for various numerical method.

  • Performance tuning, optimization, and benchmarking of algorithms on various architectures.

  • Working closely with leadership team and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries.

  • Providing technical leadership and guidance to library engineers working with you.

  • Find opportunities to improve user experience and library performance.

What we need to see:

  • PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience).

  • 5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA.

  • C/C++ programming and software development skills.

  • Proven experience in leading and completing software development projects.

  • Strong collaboration, communication, and documentation habits.

Ways to stand out from the crowd:

  • Good knowledge of CPU and/or GPU hardware architecture,

  • Experience with software development practices such as CI/CD systems and project management tools such as JIRA,

  • Experience with working in a distributed organization,

  • Debugging, profiling, and testing skills for accuracy and performance,

  • Fluency with Python.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4.

How we rate this

Senior Libraries Engineer – AI and HPC at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionHpcGPU AccelerationSoftware LibrariesOptimizationCUDACPython

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Tell me about a project where hpc was part of your work. What did you do?
  3. Tell me about a project where gpu acceleration was part of your work. What did you do?
  4. Tell me about a project where software libraries was part of your work. What did you do?
  5. Tell me about a project where optimization was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Computer vision, Hpc, GPU Acceleration, Software Libraries, and Optimization. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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