HPC Performance Architect - GPU-Accelerated

NVIDIA Corporation; Oregon; Hybrid; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a specialist to analyze HPC applications and identify performance improvements for compiler and applications teams. You will work with HPC servers and diverse hardware to optimize workloads from small benchmarks to large distributed-memory applications.

Ideal candidates have 8+ years in programming, deep knowledge of Fortran/C/C++, and experience with OpenACC/OpenMP/MPI/CUDA. Strong analysis, math, and communication skills are essential. Equity/benefits offered.

Qualifications

• BS/MS or equivalent experience in Computer Science or related engineering field.
• 8+ years of programming experience.
• Strong understanding of Fortran/C/C++, parallel architectures; experience with OpenACC, OpenMP, MPI, CUDA.

Responsibilities

• Assist customers GPU accelerate HPC applications.
• Analyze HPC applications to understand performance characteristics.
• Provide advice and drive compiler and applications engineering development teams based on analysis of these HPC applications.

Skills

Fortran/C/C++

Parallel architectures

OpenACC

OpenMP

MPI

CUDA

Performance analysis

Mathematical fundamentals

Communication skills

Project management experience

Debugging/porting

Education

BS/MS or equivalent

Tools

Performance profiling tools

Job description

NVIDIA Corporation is seeking a specialist to analyze HPC applications and identify performance improvements for compiler and applications teams. You will work with HPC servers and diverse hardware to optimize workloads from small benchmarks to large distributed-memory applications.

Ideal candidates have 8+ years in programming, deep knowledge of Fortran/C/C++, and experience with OpenACC/OpenMP/MPI/CUDA. Strong analysis, math, and communication skills are essential. Equity/benefits offered.