Senior Math Libraries Engineer – Sparse Linear Algebra

September 19

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $148k - $287.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Designing, implementing and optimizing scalable high-performance numerical sparse linear algebra software for existing and future GPU architectures • Working with library engineers, QA engineers, and interns on topics ranging from sparse BLAS operations to advanced direct and iterative sparse solvers • Working closely with product management and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries • Finding and realizing opportunities to improve library quality, performance and maintainability through re-architecting and establishing innovative software development practices

🎯 Requirements

• PhD or MSc degree (or equivalent experience) in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field is preferred • 5+ years of overall experience in developing, debugging and optimizing high-performance sparse linear algebra software using C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads, or equivalent technologies • Strong fundamentals in floating point arithmetic and implementation of sparse linear algebra primitives like matrix-vector and matrix-matrix products • Experience in developing , maintaining, and testing sparse linear algebra libraries • Strong collaboration, communication, and documentation habits. • Good knowledge of CPU and/or GPU hardware architecture and low-level GPU performance optimization • Familiarity with technologies such as multi-frontal factorizations, iterative solvers, preconditioners, and algebraic multigrid • Experience with adopting and advancing software development practices such as CI/CD systems and project management tools such as JIRA • Understanding of large-scale computing technologies such as PDE solvers, eigenvalue solvers and time-domain simulation methods (e.g., CFD, FEA) • Working experience in a globally distributed and agile organization

🏖️ Benefits

• You will also be eligible for equity and benefits.