Senior HPC Performance Engineer - AI for Science at Scale

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA has become the platform upon which every new AI-powered application is built. We are seeking a Sr.

HPC Performance engineer to join our team of scientists and engineers passionate about building the next generation of scientific machine learning (ML) frameworks. Starting with digital biology, through high performance computing (HPC) and powerful ML methods, together, we will advance NVIDIA’s capacity to accelerate AI for Science and industries that depend on it.

Qualifications

• Advanced degree in a quantitative field such as Computer Science, Computational Biophysics, Computational Chemistry, Physics, Mathematics, or equivalent experience
• 5+ years of relevant experience
• Consistent track record in performance engineering as well as software design, building and packaging and launching software products, with a focus on acceleration
• Deep understanding of parallel programming in C++, Python; programming experience CUDA or OAI Triton
• Fluent in modern machine learning frameworks such as PyTorch, JAX, Warp
• Experience with HPC solutions to research problems for biology or chemistry, including but not limited to atomistic simulations
• Recognized for technical leadership contributions, capable of self-direction, and ability to learn from and teach others
• You should display strong communication skills, be organized and self-motivated, and play well with others (be an excellent teammate!)

Responsibilities

• Design and implement computationally performant features for large scale, CUDA-backed ML training frameworks, using low level acceleration and scaling strategies such as kernel design, GPU porting, data structure innovations, distributed learning technologies
• Optimize computational performance of a wide range of business-critical ML models via accelerated hardware and software stack, as well as algorithmic improvements
• Develop and maintain HPC software stack for atomistic modeling and generative machine learning in digital biology and beyond
• Collaborate with multiple HPC, AI infrastructure, and research teams
• Drive the testing and maintenance of the algorithms and software modules

Skills

C++

Python

CUDA

OAI Triton

PyTorch

JAX

Warp

Education

Advanced degree in Computer Science or related quantitative field

Tools

CUDA

OAI Triton

Job description

NVIDIA has become the platform upon which every new AI-powered application is built. We are seeking a Sr. HPC Performance engineer to join our team of scientists and engineers passionate about building the next generation of scientific machine learning (ML) frameworks. Starting with digital biology, through high performance computing (HPC) and powerful ML methods, together, we will advance NVIDIA’s capacity to accelerate AI for Science and industries that depend on it.

What you’ll be doing:

• Design and implement computationally performant features for large scale, CUDA-backed ML training frameworks, using low level acceleration and scaling strategies such as kernel design, GPU porting, data structure innovations, distributed learning technologies
• Optimize computational performance of a wide range of business-critical ML models via accelerated hardware and software stack, as well as algorithmic improvements
• Develop and maintain HPC software stack for atomistic modeling and generative machine learning in digital biology and beyond
• Collaborate with multiple HPC, AI infrastructure, and research teams
• Drive the testing and maintenance of the algorithms and software modules

What we need to see:

• Advanced degree in a quantitative field such as Computer Science, Computational Biophysics, Computational Chemistry, Physics, Mathematics, or equivalent experience
• 5+ years of relevant experience
• Consistent track record in performance engineering as well as software design, building and packaging and launching software products, with a focus on acceleration
• Deep understanding of parallel programming in C++, Python; programming experience CUDA or OAI Triton
• Fluent in modern machine learning frameworks such as PyTorch, JAX, Warp
• Experience with HPC solutions to research problems for biology or chemistry, including but not limited to atomistic simulations
• Recognized for technical leadership contributions, capable of self-direction, and ability to learn from and teach others
• You should display strong communication skills, be organized and self-motivated, and play well with others (be an excellent teammate!)

Ways to stand out from the crowd:

• Contribution to major scientific AI for Science codebase with acceleration features such as new kernels
• Familiarity with pioneering language and geometric models used in AI for Science applications in biology and chemistry

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 February 21, 2026.

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.