Senior HPC Performance Engineer - AI for Science at Scale

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 7 Algorithms @ 4 Machine Learning @ 4 TensorFlow @ 6 Leadership @ 4 Communication @ 7 Mathematics @ 7 Parallel Programming @ 7 Technical Leadership @ 4 PyTorch @ 6 CUDA @ 4 GPU @ 4

Details

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

Responsibilities

  • 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, and 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 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.

Requirements

  • 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++ and Python; ideally CUDA and 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.
  • Strong communication skills, organized, self-motivated, and an excellent teammate.

Ways to Stand Out

  • Contributor to major scientific AI for Science codebase.
  • Familiarity with pioneering language and geometric models used in AI for Science applications in biology, chemistry, and material science.

Compensation & Benefits

  • Base salary range: 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
  • Eligible for equity and additional benefits (see NVIDIA benefits page).

Additional Information

  • Applications for this job will be accepted at least until October 4, 2025.
  • NVIDIA is an equal opportunity employer and values diversity. We do not discriminate on the basis of protected characteristics.