NVIDIA
Senior Math Libraries Engineer- Sparsity in AI
Vaga remota de Software Engineering com fit claro de localização do candidato.
Publicada13 de jul. de 2026
Países elegíveis2 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
CanadáEstados Unidos
Resumo da vaga
Senior Math Libraries Engineer- Sparsity in AI
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
What you will be doing:
- Design and develop a C++-based system to simplify and accelerate computing for unstructured sparsity in DL and HPC on NVIDIA GPUs
- Enable the system in languages and frameworks that are more commonly used in DL, such as Python and PyTorch
- Evaluate and improve the performance of the system on real-life applications
- Realize opportunities to improve library quality, performance and maintainability by writing effective and well-tested code for production use
- Work closely with product management and other internal and external partners to understand feature and performance requirements and contribute to technical roadmaps
What we need to see:
- BS, MS or PhD degree in Computer Science, Applied Math, or related field (or equivalent experience)
- 6+ years of overall experience in developing, debugging and optimizing high-performance software using C++ and parallel programming; ideally for sparse linear algebra applications and using CUDA, MPI, OpenMP, or equivalent technologies
- Experience with domain-specific language design and compiler optimizations, in particular sparse compilers (MLIR or TACO)
- Excellent C++, Python, and CUDA programming skills
- Strong collaboration, communication, and documentation habits and ideally experience with working in a globally distributed organization
Ways to stand out from the crowd:
- Strong understanding of sparse computations, in particular sparsity in AI and HPC
- Good understanding of LLMs, Deep Learning methods and frameworks
- Experience with low-level GPU performance optimization
- Understanding of numerical linear algebra methods like direct and iterative solvers
- Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA.
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