Senior GPU Math Libraries Engineer

NVIDIA; Germany (OH); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salaries

Generous benefits package

Job summary

A leading technology company is seeking software engineers for its math libraries teams focusing on AI and HPC kernel generation. The role involves developing algorithms for numerical dense linear algebra software on GPUs, providing leadership to library engineers, and collaborating with product management to meet performance requirements. Candidates should have a PhD or Master’s in a relevant field, along with strong CUDA and C++ skills. Competitive salaries and generous benefits are offered.

Qualifications

• 5+ years of experience in designing, developing, and optimizing production software.
• Good knowledge of GPU or CPU hardware architecture.
• Experience working with a globally-distributed team.

Responsibilities

• Scope, design, and implement numerical dense linear algebra software on GPUs.
• Provide leadership and feedback to engineers and mentor interns.
• Collaborate with product management to define feature requirements.
• Find opportunities to improve performance and reduce maintenance overhead.

Skills

CUDA

C++

Finite precision arithmetics

Numerical methods for linear algebra

Teamwork

Communication

Education

PhD or Master’s degree in Computer Science, Applied Math, or related field

Tools

CUTLASS

Python

Job description

A leading technology company is seeking software engineers for its math libraries teams focusing on AI and HPC kernel generation. The role involves developing algorithms for numerical dense linear algebra software on GPUs, providing leadership to library engineers, and collaborating with product management to meet performance requirements. Candidates should have a PhD or Master’s in a relevant field, along with strong CUDA and C++ skills. Competitive salaries and generous benefits are offered.