Senior Math Libraries Engineer – Sparse Linear Algebra

🕒 Setembro 19, 2025

🏄 California – Remoto

🏄 California – Remote

💵 $148.000 - $287.500 / ano

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

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NVIDIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1993

🤖 Inteligência Artificial

🎮 Jogos

Artificial Intelligence • Gaming • Automotive

A NVIDIA é uma empresa de tecnologia líder, especializada em computação acelerada e inteligência artificial. A companhia é pioneira em avanços em unidades de processamento gráfico (GPUs), computação em nuvem, data centers e realidade virtual, com foco nos setores de games, automotivo, saúde e robótica. As inovações da empresa, como o NVIDIA Omniverse, transformam processos digitais tradicionais ao viabilizar simulações de alta fidelidade e tarefas de renderização. Suas aplicações abrangem diversos setores, desde veículos autônomos com o NVIDIA DRIVE até soluções de saúde com o NVIDIA Clara, além de análises e fluxos de trabalho impulsionados por IA.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• You will also be eligible for equity and benefits.