NVIDIA
Senior HPC Performance Engineer - AI for Science at Scale
NVIDIA, Granite Heights, Wisconsin, United States
Senior HPC Performance Engineer - AI for Science at Scale
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Senior HPC Performance Engineer - AI for Science at Scale
role at
NVIDIA .
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 GPU porting, data structure innovations, distributed learning technologies
Optimize computational performance of 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 generative machine learning models in digital biology and beyond
Collaborate with multiple HPC, AI infrastructure, and research teams
Develop tools to assist data processing, data quality control, algorithm development, and algorithm testing
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
8+ years of relevant experience
Consistent track record in performance engineering as well as software design, building and packaging and launching software products
Deep understanding of parallel programming in C++, Python; ideally CUDA and OAI Triton programming experience
Fluent in modern machine learning frameworks such as PyTorch, TensorFlow, JAX, Warp
Experience with HPC solutions to research problems, ideally for biology, chemistry or material science applications
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
Contributor to major scientific AI for Science codebase
Familiarity with pioneering language and geometric models used in AI for Science applications in biology, chemistry, material science
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 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 4, 2025. NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. As we highly value diversity, we do not discriminate 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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Senior HPC Performance Engineer - AI for Science at Scale
role at
NVIDIA .
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 GPU porting, data structure innovations, distributed learning technologies
Optimize computational performance of 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 generative machine learning models in digital biology and beyond
Collaborate with multiple HPC, AI infrastructure, and research teams
Develop tools to assist data processing, data quality control, algorithm development, and algorithm testing
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
8+ years of relevant experience
Consistent track record in performance engineering as well as software design, building and packaging and launching software products
Deep understanding of parallel programming in C++, Python; ideally CUDA and OAI Triton programming experience
Fluent in modern machine learning frameworks such as PyTorch, TensorFlow, JAX, Warp
Experience with HPC solutions to research problems, ideally for biology, chemistry or material science applications
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
Contributor to major scientific AI for Science codebase
Familiarity with pioneering language and geometric models used in AI for Science applications in biology, chemistry, material science
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 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 4, 2025. NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. As we highly value diversity, we do not discriminate 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.
#J-18808-Ljbffr