Senior HPC Cluster Engineer
Nvidia
At a glance
AI generatedAs part of NVIDIA's NVHPC compilers & tools group, you will join a senior team focused on analyzing High Performance Computing (HPC) applications to optimize their performance characteristics across diverse systems. Your daily tasks include assisting customers in GPU-accelerating HPC applications and providing insights for compiler and application engineering teams based on your analysis of these complex applications. Ideal candidates possess extensive experience with Fortran/C/C++ programming, OpenACC, OpenMP, MPI, CUDA, and a strong background in performance tuning and parallel architectures. Additionally, you should have expertise in linear algebra, numerical methods, and machine architecture understanding, along with excellent communication skills to collaborate effectively within the team.
Skills
What you'll do
What we're looking for
Market check
This $184,000–$287,500 range sits above 88% of similar postings on FindRole.
Peer median band
$148,700–$228,100
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$150,000–$224,100
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 801 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.
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