3 days ago

Senior HPC Performance Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Analyze and run high performance computing (HPC) applications on HPC servers and systems to uncover performance characteristics and optimization opportunities. Work with NVHPC compilers & tools to help customers GPU-accelerate HPC workloads, assess distributed-memory parallel applications across CPUs, GPUs, and many-core processors, and guide compiler and application engineering teams with actionable performance insights.

Location: Switzerland, Zurich

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Assist customers with GPU acceleration of HPC applications.
•Analyze HPC applications to understand performance characteristics across single-core and distributed-memory workloads.
•Provide advice and drive compiler and application engineering development teams based on performance analysis.
•Identify optimization opportunities for compiler development teams and application engineering teams.
•Collaborate with teams working on heterogeneous compute nodes including CPUs, GPUs, and many-core processors.

Key Requirements

•BS/MS or equivalent experience in Computer Science or a related engineering field.
•8+ years of programming experience.
•Solid understanding of Fortran, C, and C++ with parallel programming techniques (preferably for compilers).
•Experience with OpenACC, OpenMP, MPI, and CUDA.
•Strong performance analysis and tuning skills, including linear algebra and numerical methods.

Experience:HPCCompilersParallel computing

Education:Bachelor's

Skills:Performance analysisProblem solvingTime managementTask prioritizationCommunication

Tech Stack:HPCNVHPCFortranCC++OpenACCOpenMPMPICUDAParallel architecturesDistributed-memory systemsCPUsGPUsMany-core processorsLinear algebraNumerical methodsAssembly language

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 days ago

Senior HPC Performance Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Switzerland, Zurich

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Assist customers with GPU acceleration of HPC applications.
•Analyze HPC applications to understand performance characteristics across single-core and distributed-memory workloads.
•Provide advice and drive compiler and application engineering development teams based on performance analysis.
•Identify optimization opportunities for compiler development teams and application engineering teams.
•Collaborate with teams working on heterogeneous compute nodes including CPUs, GPUs, and many-core processors.

Key Requirements

•BS/MS or equivalent experience in Computer Science or a related engineering field.
•8+ years of programming experience.
•Solid understanding of Fortran, C, and C++ with parallel programming techniques (preferably for compilers).
•Experience with OpenACC, OpenMP, MPI, and CUDA.
•Strong performance analysis and tuning skills, including linear algebra and numerical methods.

Experience:HPCCompilersParallel computing

Education:Bachelor's

Skills:Performance analysisProblem solvingTime managementTask prioritizationCommunication

Tech Stack:HPCNVHPCFortranCC++OpenACCOpenMPMPICUDAParallel architecturesDistributed-memory systemsCPUsGPUsMany-core processorsLinear algebraNumerical methodsAssembly language

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor