Software Engineering Manager, Sparse Linear Algebra Libraries

at Nvidia

📍 Santa Clara, United States

$220,000-419,800 per year

SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 4 Python @ 4 CI/CD @ 4 Communication @ 7 Mathematics @ 4 Parallel Programming @ 4 Performance Optimization @ 4 Jira @ 4 Product Management @ 4 API @ 4 Project Management @ 4

Details

We are looking for a software engineering manager to lead our development efforts for high-performance sparse linear algebra libraries in the AI and scientific computing domains. Around the world, leading commercial and academic organizations are revolutionizing AI, data analytics, and scientific and engineering simulations, using data centers powered by GPUs. Applications of these technologies include LLMs, computer vision, encryption, computer aided engineering (CAE), electronic design automation (EDA), autonomous vehicles, and countless others. Did you know our team develops the GPU accelerated libraries and SDKs that help make these possible?

Responsibilities

  • Lead, mentor, and grow your library engineering team.
  • Be responsible for the quality and performance of your libraries and the planning and execution of projects.
  • Work closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of scientific computing, programming systems, and AI to help collect requirements for your products as well as contribute to the development of technology roadmaps.
  • Interact with external partners and researchers to understand their use cases and requirements.

Requirements

  • PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field (or equivalent experience).
  • 8+ years of overall experience in developing high-performance numerical software.
  • 3+ years of experience recruiting, training, and leading software engineering teams.
  • Strong fundamentals in numerical methods such as computational sparse/dense linear algebra and direct and iterative solvers for linear systems.
  • Hands-on experience with user facing API design, object-oriented programming, large system software architecture development, testing, maintenance, and performance optimization of HPC software using C++ and Python.
  • Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads.
  • Strong collaboration, communication, and documentation habits.
  • Experience with, and motivation to adopt and advance, software development practices such as CI/CD systems and project management tools such as JIRA.

Benefits

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing for science and engineering. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We’re looking to grow our company and build our teams with the smartest people in the world! Join us at the forefront of technological advancement. NVIDIA is widely considered to be one of the technology world's most desirable employers. If you’re creative, autonomous, and love a challenge, we want to hear from you!