NVIDIA Corporation
Senior HPC Performance Engineer - AI for Science at Scale
NVIDIA Corporation, Santa Clara, California, us, 95053
Senior HPC Performance Engineer - AI for Science at Scale page is loaded## Senior HPC Performance Engineer - AI for Science at Scalelocations:
US, CA, Santa Clara:
US, NC, Remote:
US, TX, Remote:
US, OR, Remote:
US, MA, Remotetime type:
Full timeposted on:
Posted Yesterdayjob requisition id:
JR2004702NVIDIA 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 scienceYour 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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and .Applications for this job will be accepted at least until October 4, 2025.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. #J-18808-Ljbffr
US, CA, Santa Clara:
US, NC, Remote:
US, TX, Remote:
US, OR, Remote:
US, MA, Remotetime type:
Full timeposted on:
Posted Yesterdayjob requisition id:
JR2004702NVIDIA 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 scienceYour 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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and .Applications for this job will be accepted at least until October 4, 2025.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. #J-18808-Ljbffr