Senior HPC Performance Engineer

NVIDIA

. Assist customers in GPU-accelerating HPC applications .

Posted 10/14/2026full-timeRemote • United StatesSenior💰 $184,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in High Performance Computing (HPC) applications, with a strong focus on performance analysis, optimization, and parallel programming techniques. Proficient in collaborating with engineering teams to enhance compiler development and application performance.

Highest-signal resume keywords

Fortran ProgrammingC++ ProgrammingCUDA ExperiencePerformance AnalysisOpenMP Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C ProgrammingParallel ArchitecturesOpenACCMPINumerical MethodsLinear AlgebraPerformance TuningHPC Application AnalysisCompiler DevelopmentDistributed-Memory Systems

Soft Skills

Interpersonal SkillsProblem SolvingTime ManagementTask PrioritizationCommunication Skills

Tools & Technologies

HPC Development ToolsRuntime Environments

Industry Keywords

High Performance ComputingParallel ApplicationsPerformance Considerations

Tech Stack

Tools & technologies

C++

About the role

Key responsibilities & impact

Assist customers in GPU-accelerating HPC applications
Analyze High Performance Computing applications to understand their performance characteristics
Provide advice to and drive compiler and applications engineering development teams based on HPC application analysis
Analyze applications ranging from single-core synthetic benchmarks to distributed-memory systems with heterogeneous CPUs, GPUs, and many-core processors
Identify optimization opportunities for compiler development teams and application engineering teams

Requirements

What you’ll need

BS/MS or equivalent experience in Computer Science or related engineering field
8+ Years of programming experience
Solid understanding of Fortran/C/C++, especially programming techniques for parallel architectures and preferably compilers
Experience with OpenACC, OpenMP, MPI, and CUDA
Strong skills in performance analysis and tuning
Broad understanding of parallel applications development tools and runtime environments
Strong mathematical fundamentals, including linear algebra and numerical methods
Understanding of performance considerations, tradeoffs, and impact
Expert interpersonal skills, logical approach to problem solving, good time management, and task prioritization skills
Excellent written and verbal communication skills
Ability to work in a dynamic product-oriented team

Benefits

Comp & perks

Equity
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