Software Engineering Manager, Sparse Linear Algebra Libraries

at  NVIDIA

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?
In this role, you will lead an engineering team designing, developing, and optimizing software to accelerate various elements of the software stack. Ideal candidates will not only have experience leading software product engineering teams, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains. If this sounds exciting, we would love to meet you!

WHAT WE NEED TO SEE:

• 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.

• 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.