NVIDIA
Senior Math Libraries Engineer – Emulation in AI and HPC
NVIDIA, California, Missouri, United States, 65018
Senior Math Libraries Engineer – Emulation in AI and HPC
We are looking for software engineers to join our math libraries teams for AI and HPC kernel generation, specifically targeting emulation of math operations across different precisions. Applications of these technologies are in healthcare, NLP, VR, deep learning, autonomous vehicles and countless others. Our team develops the GPU accelerated math libraries that enable these applications.
What You Will Be Doing
Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.
Providing technical leadership and feedback to library engineers, with mentoring for interns when applicable.
Working closely with product management and other internal and external customers to understand feature and performance requirements and help define the technical roadmaps of libraries.
Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.
What We Need To See
PhD or Master’s degree in Computer Science, Applied Math, or related field (or equivalent experience).
5+ years of experience in designing, developing, testing, maintenance, and performance optimization of production software using CUDA and C++.
Good knowledge of GPU (preferred) or CPU hardware architecture.
Strong fundamentals in finite precision arithmetics and numerical methods for linear algebra.
Great teamwork, communication, and documentation habits.
Ways To Stand Out From The Crowd
Experience with CUTLASS, or low level programming like assembly for performance optimization is a huge plus.
A scripting language, preferably Python.
Experience with working in a globally-distributed team.
About NVIDIA NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, we are known as “the AI computing company” and are actively growing our teams with the smartest people in the world.
With competitive salaries and a generous benefits package, we are widely regarded as a desirable employer. If you’re a creative and autonomous engineer with a passion for technology, we want to hear from you.
Compensation & Benefits Your base salary will be determined based on location, experience, and pay of similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Application Timeline Applications for this job will be accepted at least until September 7, 2025.
Equal Opportunity NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate 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.
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What You Will Be Doing
Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.
Providing technical leadership and feedback to library engineers, with mentoring for interns when applicable.
Working closely with product management and other internal and external customers to understand feature and performance requirements and help define the technical roadmaps of libraries.
Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.
What We Need To See
PhD or Master’s degree in Computer Science, Applied Math, or related field (or equivalent experience).
5+ years of experience in designing, developing, testing, maintenance, and performance optimization of production software using CUDA and C++.
Good knowledge of GPU (preferred) or CPU hardware architecture.
Strong fundamentals in finite precision arithmetics and numerical methods for linear algebra.
Great teamwork, communication, and documentation habits.
Ways To Stand Out From The Crowd
Experience with CUTLASS, or low level programming like assembly for performance optimization is a huge plus.
A scripting language, preferably Python.
Experience with working in a globally-distributed team.
About NVIDIA NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, we are known as “the AI computing company” and are actively growing our teams with the smartest people in the world.
With competitive salaries and a generous benefits package, we are widely regarded as a desirable employer. If you’re a creative and autonomous engineer with a passion for technology, we want to hear from you.
Compensation & Benefits Your base salary will be determined based on location, experience, and pay of similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Application Timeline Applications for this job will be accepted at least until September 7, 2025.
Equal Opportunity NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate 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.
JR2002654
#J-18808-Ljbffr