Performance Engineer, Deep Learning and HPC

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.

Our team is responsible for generating benchmark data across a rapidly growing catalog of Deep Learning & HPC frameworks/applications on Nvidia and as well as competitive products. The data that we collect drives marketing/sales collaterals as well as engineering studies for current and future products. In some instances, we’ll write scripts that improve the team’s ability to gather data through automation and designing efficient processes for testing a wide variety of applications and hardware.

You will have the opportunity to work with multi-functional teams and in a dynamic environment where multiple projects will be active at once and priorities may shift frequently. We are now looking for a Performance Engineer focused on Deep Learning (DL) & High-Performance Computing (HPC) applications to join our diverse team.

• Plan and execute performance benchmarking across a wide range of HPC and DL frameworks and applications
• Aggregate, analyze, and generate written and visual reports with the testing data for internal sales, marketing, SW, and HW teams
• Develop Python scripts to automate the testing of DL & HPC-focused applications
• Work with internal engineering team to debug performance issues
• Learn to use the latest applications in the areas of advanced machine learning and HPC
• Assist with the development of tools and processes that improve our ability to perform automated testing

• B.S. in Computer Engineering, Computer Science or related technical field (or equivalent experience)
• 2 years of experience
• Excellent programming and debugging skills in a scripting language such as Python or Unix shell
• Advanced knowledge using Linux based systems (Ubuntu and CentOS strongly preferred)
• Proficient in compiling software from source code, including debugging errors encountered
• Excellent English verbal and written interpersonal skills to improve collaboration with coworkers
• Excellent data analysis skills and the ability to summarize findings in a written report
• Familiarity using a container platform such as Docker or Singularity

• Experience using a GPU-enabled deep learning framework such as PyTorch, MXNet, or TensorRT
• Experience using GPU-enabled HPC applications such as LAMPS, GROMACS, Amber, RTM, etc…
• GPU/CPU benchmarking on cloud solutions from AWS, GCP, Azure
• Software compilers such as GNU, Intel Composer, or PGI
• Previous experience with computer clusters and cluster orchestration and scheduling tools.

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD – 189,750 USD for Level 2, and 136,000 USD – 212,750 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 6, 2026.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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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