HPC Performance Engineer

NVIDIA Corporation; Oregon (WI); Hybrid; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA Corporation in the United States is seeking an HPC Performance Engineer within the NVHPC compilers & tools group to analyze high‑performance workloads and drive performance improvements through compiler optimizations and library enhancements.

You will evaluate the impact of compilers and runtimes on CPU and CPU/GPU platforms, port applications to varied architectures, and collaborate with application engineers to push scalable performance.

Qualifications

• BS/MS or equivalent experience in Computer Science or a related engineering field.
• 5+ years of programming experience.
• Strong understanding of Fortran, C, C++, and programming techniques, especially for parallel architectures, preferably for compilers.
• Experience with OpenACC, OpenMP, MPI, CUDA and Standard Language Parallelism.
• Strong mathematical fundamentals, including linear algebra and numerical methods.

Responsibilities

• Analyze the effect of different compilers and compiler optimizations on HPC application performance.
• Evaluate whether and how the compiler and runtime can improve performance on CPU and CPU/GPU platforms.
• Communicate limits of compiler capabilities with application engineering to guide improvements.
• Port HPC applications to different platforms and programming models.
• Evaluate the impact of NVHPC package components, device driver, and system configuration on performance.

Skills

Fortran, C, C++

Parallel programming

Performance analysis

Communication

Education

BS/MS in CS or related field

Tools

OpenACC

OpenMP

MPI

CUDA

Job description

We are looking for an HPC Performance Engineer in our NVHPC compilers & tools group. The role focuses on analyzing high‑performance computing applications to improve performance through compiler optimizations and library enhancements.

What you’ll be doing:

• Analyze the effect of different compilers and compiler optimizations on HPC application performance.
• Evaluate whether and how the compiler and runtime can improve the performance of key HPC applications on CPU and CPU/GPU platforms.
• Communicate limits of compiler capabilities with application engineering to guide the best path forward toward improving performance.
• Port HPC applications to different platforms and programming models.
• Evaluate the impact of NVHPC package components, device driver, and system configuration on application performance.

What we need to see:

• BS/MS or equivalent experience in Computer Science or a related engineering field.
• 5+ years of programming experience.
• Solid understanding of Fortran, C, C++, and programming techniques, especially for parallel architectures, preferably for compilers.
• Experience with OpenACC, OpenMP, MPI, CUDA and Standard Language Parallelism.
• Strong skills in performance analysis and tuning, as well as a 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, a logical approach to problem‑solving, good time‑management, and task prioritization skills.
• Excellent written and verbal communication skills, along with the ability to work in a dynamic development team.

Ways to stand out from the crowd:

• Deep understanding of machine architectures and micro‑architectures.
• Experience with debugging and porting as well as assembly language programming.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. The base salary range for this role is $152,000–$241,500, plus eligibility for equity and additional benefits.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.