Developer Technology Engineering Intern - Compute Performance
Core
Research and develop techniques to GPU-accelerate leading applications in high performance computing fields within scientific computing, computational engineering, and data science.
Role type
Intern, compute performance engineering
Builds
GPU-accelerated applications and core parallel algorithms
Domain
High performance computing, scientific computing, computational engineering
Deliverable
production ML models
Required skills
C/C++, Fortran, parallel programming, CUDA C/C++, OpenACC, linear algebra, numerical methods
Preferred skills
domain expertise in telecommunications, medical imaging, machine learning, deep learning, natural sciences
Technologies
CUDA, OpenACC
Responsibilities
Craft and optimize core parallel algorithms and data structures for GPUs; Collaborate with architecture, research, libraries, tools, and system software teams to influence next-generation design.
