Senior Math Libraries Engineer – Sparse Linear Algebra

🕒 il y a 8 mois

🏄 California – Distant

🏄 California – Remote

💵 $148 000 - $287 500 / an

⏰ Temps Plein

🟠 Senior

👷🏻‍♀️ Ingénieur

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NVIDIA

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1993

🤖 Intelligence artificielle

🎮 Jeux vidéo

Artificial Intelligence • Gaming • Automotive

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

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

🎯 Exigences

• 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

🏖️ Avantages

• You will also be eligible for equity and benefits.