Base: $0.00 - $0.00; bonus/equity: not specified; ...
Computational methods for physics simulations
Graph compute methods for hpc
Machine learning for physics-based problems
Join our Advanced Algorithms team as a Summer Intern and work on cutting-edge research in advanced computational methods and technologies
Job Summary
Join our Advanced Algorithms team as a Summer Intern and work on cutting-edge research in advanced computational methods and technologies.
You’ll work on investigating and characterizing next-generation solutions against current best-known methods, collecting data using KLA tools and software, analyzing and summarizing results, and helping automate analysis workflows.
Interns are eligible for some of the benefits listed, including participation in performance incentive programs and eligibility for additional benefits such as medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
Matching Summary
Join our Advanced Algorithms team as a Summer Intern and work on cutting-edge research in advanced computational methods and technologies.
Salary
Base: $0.00 - $0.00; Bonus/Equity: Not specified; Benefits: Interns eligible for some benefits
Skills & Requirements
Must-have
computational methods for physics simulations
graph compute methods for HPC
machine learning for physics-based problems
Triton
C++
Pytorch/JAX/Tensorflow
Nice-to-have
data visualization and communication abilities
electromagnetic solvers acceleration
next-generation solutions characterization
Key Requirements
Ph.D. in Physics, Mathematics, Computer Science, Electrical Engineering, or related field
Experience in Triton and graph computing
Strong background in computational methods for physics simulations
Expertise on graph compute methods for HPC
Expertise in machine learning for physics-based problems