Senior Math Libraries Engineer - Dense Linear Algebra

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 4 CI/CD @ 4 Leadership @ 4 Communication @ 7 Mathematics @ 4 Parallel Programming @ 6 Jira @ 4 Product Management @ 4 Debugging @ 6 Technical Leadership @ 4 TAG @ 4 Project Management @ 4 QA @ 4 CUDA @ 6 GPU @ 4

Details

We are looking for software engineers to join our development efforts in the area of dense linear algebra kernels for high-performance libraries such as cuSOLVER. Around the world, leading commercial and academic organizations are revolutionizing AI, data analytics, and scientific and engineering simulations, using data centers powered by GPUs and high-performance linear algebra libraries. Applications of these technologies include computer aided engineering (CAE), electronic design automation (EDA), quantum chemistry, autonomous vehicles, LLMs, computer vision, encryption, and countless others. Our team develops the GPU-accelerated libraries and SDKs that help make these possible.

Responsibilities

  • Design, implement and optimize scalable high-performance numerical dense linear algebra software on GPUs.
  • Provide technical leadership and guidance to library engineers, QA engineers, and interns working with you on projects.
  • Work closely with product management and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries.
  • Find and realize opportunities to improve library quality, performance and maintainability through re-architecting and establishing innovative software development practices.

Requirements

  • PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field (or equivalent experience).
  • 5+ years of overall experience in developing, debugging and optimizing high-performance numerical linear algebra software using C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads.
  • Strong fundamentals in numerical methods such as computational linear algebra, linear system solvers, and methods for eigenvalue, singular value, and other decompositions.
  • Experience developing dense linear algebra libraries such as BLAS, LAPACK; and their parallel counterparts like PBLAS and SCALAPACK.
  • Strong collaboration, communication, and documentation habits.

Ways to stand out

  • Good knowledge of CPU and/or GPU hardware architecture.
  • Experience with adopting and advancing software development practices such as CI/CD systems and project management tools such as JIRA.
  • Experience with working in a globally distributed organization.
  • Strong background of large-scale computing technologies such as PDE solvers, eigenvalue solvers and time-domain simulation methods (e.g., CFD, FEA).

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in 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.

Additional details

  • Location: US, CA, Santa Clara.
  • Employment type: Full time.
  • Application window: Applications for this job will be accepted at least until July 29, 2025.
  • NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
  • Office policy tag in posting: #LI-Hybrid.