NVIDIAHiring

Senior Math Libraries Engineer, Direct Sparse Solvers

  • Remote, United States
  • Senior
  • Posted 5 days ago
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In one line

Build and tune direct sparse solver algorithms and GPU kernels for a CUDA library used in simulation, engineering and AI work.

About the role

Suits someone with a numerical computing background who enjoys both algorithm design and low-level performance work. The library ships to commercial and academic users, so quality and reliability matter as much as speed.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
CUDA, MPI, OpenMP, OpenACC, Pthreads
Posted
30 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Design, code and tune direct sparse solvers for current and upcoming GPU generations
  • Work with library, QA and intern colleagues from design through testing, release and support
  • Turn product and partner requirements into technical roadmap input and library improvements

What they look for

  • PhD or MSc in computer science, computational science, applied maths or a similar field, or equal experience
  • Five or more years building and debugging high-performance numerical code in C++ with parallel programming
  • Solid grasp of floating point, numerical analysis and sparse linear algebra primitives such as triangular solves
  • History of developing and testing scientific computing libraries
  • Clear communication, teamwork and documentation habits

Nice to have

  • Knowledge of reordering, multi-frontal and supernodal factorizations, pivoting and iterative refinement

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Questions about this job

Can I do this job remotely, and from which countries?

Yes. The posting lists Senior Math Libraries Engineer, Direct Sparse Solvers as a remote role for candidates in the United States.

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 computer science, computational science, applied maths or a similar field, or equal experience; five or more years building and debugging high-performance numerical code in C++ with parallel programming; solid grasp of floating point, numerical analysis and sparse linear algebra primitives such as triangular solves. Skills it names include CUDA, MPI, OpenMP, OpenACC.

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