HPC Performance Engineer: Optimize Compilers & Apps Equity

NVIDIA; Texas; On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a seasoned HPC performance analyst to join the NVHPC compilers & tools group in Texas. You will analyze HPC applications and identify optimization opportunities to guide compiler and application engineers.

You will assist customers in GPU-accelerating workloads, perform deep performance analysis, and communicate clear recommendations. Work involves distributed-memory systems with CPUs, GPUs, and many-core processors in a fast-paced, product-focused team.

Qualifications

• BS/MS or equivalent experience in Computer Science or related engineering field.
• 8+ years of programming experience.
• Strong knowledge of Fortran/C/C++, with parallel architectures; experience with compilers preferred.
• Experience with OpenACC, OpenMP, MPI and CUDA.
• Strong skills in performance analysis, tuning, and runtime environments.
• Strong mathematical fundamentals, including linear algebra and numerical methods.
• Understand performance considerations, tradeoffs and impact.
• Excellent communication and teamwork in a dynamic product team.

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 HPC applications.

Skills

8+ Years of programming experience

C/C++/Fortran

OpenACC OpenMP MPI CUDA

Performance analysis and tuning

Mathematics (linear algebra, numerical

Education

BS/MS or equivalent experience in Computer Science or related engineering field

Job description

NVIDIA is seeking a seasoned HPC performance analyst to join the NVHPC compilers & tools group in Texas. You will analyze HPC applications and identify optimization opportunities to guide compiler and application engineers.

You will assist customers in GPU-accelerating workloads, perform deep performance analysis, and communicate clear recommendations. Work involves distributed-memory systems with CPUs, GPUs, and many-core processors in a fast-paced, product-focused team.