Senior Math Libraries Engineer, Dense Linear Algebra
Nvidia
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This role pays more than 65% of similar roles. Most pay $196,750–$241,750 — the blue band above. At the midpoint, this role pays about $236k versus about $219k for comparable roles.
Based on 240 similar postings.
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Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 1623 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.
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At a glance
The Senior Math Libraries Engineer joins the development team for cuDSS, a CUDA library for direct solvers for sparse linear systems. In this role, you will design, implement, and optimize direct sparse solvers for existing and future GPU architectures. You will collaborate with library engineers, QA engineers, and interns to manage all development aspects from design to release. Key responsibilities include re-architecting libraries to improve quality and performance while contributing to technical roadmaps. You must possess expertise in C++, CUDA, MPI, OpenMP, OpenACC, and pthreads. Required skills include numerical analysis, floating-point arithmetic, and sparse linear algebra primitives like matrix-vector products. The work addresses technical challenges in scientific and engineering simulations, including computer aided engineering, electronic design automation, optimization, and quantum chemistry.
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