Senior GPU Math Libraries Engineer JIT Kernel Fusion

NVIDIA Corporation

Santa Clara (CA)

Hybrid

USD 184,000 - 357,000

Full time

14 days+

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Hybrid work model

Job summary

NVIDIA Corporation is seeking a senior engineer to advance kernel generation for AI and HPC, focusing on matrix operations, JITing and operator fusions. You will lead GPU-accelerated linear algebra libraries and coordinate cross-team efforts with PMs and external partners.

The role demands 8+ years in HPC software with strong C++ skills, leadership, and a passion for performance. Hybrid work in Santa Clara, with equity and benefits offered.

Qualifications

  • PhD, Master’s, or Bachelor’s degree in Computer Science, Applied Math, or related field (or equivalent experience).
  • 8+ years of experience in HPC software design, development, testing, maintenance and performance optimization using C++.
  • Strong fundamentals in kernel generation and composable library design for linear algebra.
  • Leadership skills in driving software development projects.
  • Collaboration, communication, and documentation abilities; JIT focus/experience desired.

Responsibilities

  • Scoping, designing, and implementing high quality numerical dense linear algebra software on GPUs.
  • Owning the execution of projects involving multiple engineers and teams.
  • Providing technical leadership and mentoring engineers and interns.
  • Working with product management and customers to shape feature requirements and roadmaps.
  • Identifying opportunities to improve performance and reduce maintenance through re-architecting.
  • Explaining complex solutions, exercising leadership, and coordinating across teams to achieve goals.

Skills

Leadership
Collaboration
C++ proficiency
Kernel generation

Education

PhD, Master’s, or Bachelor’s degree in CS/Applied Math or related field

Tools

CUDA
MPI
OpenMP
OpenACC
pthreads

Job description

NVIDIA Corporation is seeking a senior engineer to advance kernel generation for AI and HPC, focusing on matrix operations, JITing and operator fusions. You will lead GPU-accelerated linear algebra libraries and coordinate cross-team efforts with PMs and external partners.

The role demands 8+ years in HPC software with strong C++ skills, leadership, and a passion for performance. Hybrid work in Santa Clara, with equity and benefits offered.

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