Senior HPC Performance Engineer

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA's NVHPC compilers & tools group seeks an experienced HPC analytics specialist to analyze and run HPC applications on specialized servers, identifying optimization opportunities for compiler development and application engineering teams.

You will work with synthetic benchmarks and full-scale distributed-memory workloads on heterogeneous systems, collaborating with engineers to improve performance and scalability across CPU, GPU, and many-core architectures.

Qualifications

• BS/MS or equivalent experience in Computer Science or related engineering field.
• 8+ years of programming experience.
• Solid understanding of Fortran/C/C++, as well as programming techniques, especially for parallel architectures; preferably for compilers.
• Experience with OpenACC, OpenMP, MPI, and CUDA.
• 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.
• Understand performance considerations, tradeoffs and impact.
• Excellent written and verbal communication skills in a dynamic product oriented team.

Responsibilities

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

Skills

Fortran/C/C++

Parallel architectures

OpenACC/OpenMP/MPI/CUDA

Performance analysis

Communication skills

Problem solving

Education

BS/MS in Computer Science or related engineering field

Job description

As a member of our team in NVIDIA's NVHPC compilers & tools group, you will analyze and run High Performance Computing (HPC) applications on HPC servers and systems to gain insight into the performance characteristics of these applications. The applications you'll work with range from small synthetic benchmarks that use a single core to full applications that utilize all of the resources on distributed-memory systems with heterogeneous compute nodes including CPUs, GPUs and many-core processors. In this role you will analyze these applications and identify optimization opportunities for compiler development teams and application engineering teams.

What You’ll Be Doing

• Assist customers GPU accelerate HPC applications.
• Analyze High Performance Computing (HPC) applications to better understand their performance characteristics.
• Provide advise and drive compiler and applications engineering development teams based on the analysis of these HPC applications.

What We Need To See

• BS/MS or equivalent experience in Computer Science or related engineering field.
• 8+ Years of programming experience.
• Solid understanding of Fortran/C/C++, as well as programming techniques, especially for parallel architectures; preferably for compilers
• Experience with OpenACC, OpenMP, MPI, and CUDA.
• 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.
• Understand 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, along with the ability to work in a dynamic product oriented team.

Ways To Stand Out From The Crowd

• You have a deep understanding of machine architectures and micro-architectures.
• Experience with debugging and porting as well as assembly language programming is a significant advantage.
• Experience is leading and/or managing projects is a plus.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, 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.

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