HPC Performance Engineer

NVIDIA Corporation; United States; Remote; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking an HPC Performance Engineer in the NVHPC group to optimize HPC workloads across CPU and CPU/GPU platforms. You will collaborate with compiler and application teams to deliver effective improvements and port work to diverse platforms with various programming models.

The role emphasizes deep understanding of parallel architectures, performance tuning, and communication of technical tradeoffs.

Qualifications

• BS/MS or equivalent in Computer Science or related engineering field.
• 5+ years of programming experience.
• Solid understanding of Fortran, C, C++, and parallel programming techniques.
• Experience with OpenACC, OpenMP, MPI, CUDA and Standard Language Parallelism.
• Strong skills in performance analysis and tuning with parallel tools.
• Strong mathematical fundamentals including linear algebra and numerical methods.
• Understand performance tradeoffs and impact.
• Excellent communication, time management and teamwork abilities.

Responsibilities

• Analyze effect of different compilers and optimizations on HPC application performance.
• Evaluate compiler/runtime improvements for CPU and CPU/GPU platforms.
• Communicate limits of compiler capabilities to guide performance improvements.
• Port HPC applications to different platforms and programming models.
• Assess impact of NVHPC components, device drivers, and system configs on performance.

Skills

Programming experience

Performance analysis

Problem solving

Time management

Communication skills

Team collaboration

Mathematical fundamentals

Critical thinking

Education

BS/MS or equivalent in CS or related field

Tools

Fortran/C/C++

OpenACC

OpenMP

MPI

CUDA

Parallel programming

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a HPC Performance Engineer in our NVHPC compilers & tools group. Our performance engineers analyze High Performance Computing (HPC) applications with the intent of improving performance by driving compiler optimizations and library enhancements. This role offers the chance to work with a wide range of applications, from small benchmarks running on single-CPU core to full-scale applications running on multi-node multi-GPU systems. You'll find optimization opportunities and work closely with our compiler development and application engineering teams to deliver effective solutions.

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 towards 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.
• Understand 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:

• 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.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 24, 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.