HPE
Principal AI Research Scientist (HPE Labs)
$152K–$349K
Milpitas, California, United States of America +3 · Principal · Full-time · Posted Aug 16, 2026
- Location
- Milpitas, California, United States of America
Westford, Massachusetts, United States of America
Spring, Texas, United States of America
Andover, Massachusetts, United States of America - Experience
- Typically, 5+ years' experience Post PhD graduate studies. Or equivalent.
- Education
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields.
About the job
Leads original, publication-driven AI research for HPE Labs, developing and testing ideas across machine learning, physics, and quantum computing.
What you'll do
- Lead research projects from problem formulation through implementation, experiments, analysis, and publication.
- Design rapid experiments to evaluate research directions and publish findings at leading venues.
- Collaborate across disciplines, mentor junior researchers, and develop reusable research assets when appropriate.
What they ask for
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or a related field.
- Strong, sustained original AI/ML research record and publications at leading or comparable peer-reviewed venues.
- Deep mathematical understanding of modern machine-learning methods and excellent experimental skills.
- Advanced proficiency in Python and PyTorch; experience with research codebases, HPC, distributed systems, and collaborative software development.
Nice to have
- Research background in theoretical or other mathematically intensive physics, with a proven AI/ML research record.
- Working proficiency in C++; experience with physics/quantum applications or releasing reusable open-source research assets.
Pay
USD 172,000 - 328,000 (base salary, Massachusetts); USD 172,000 - 349,000 (base salary, California); USD 152,000 - 349,000 (base salary, Texas)
Tools
Python, PyTorch, C++, HPC, distributed systems, NeurIPS, ICML, ICLR
AI focus
Original research in foundation-model reasoning, representation learning, physics-inspired machine learning, mechanistic interpretability, and AI applications at the intersection of quantum computing and physical science.
Model-written summary · the original posting is authoritative