Developer Technology Engineer, AI
Core
Develop and optimize core parallel algorithms and data structures for GPU-based applications, working directly with application developers to solve current and future problems.
Role type
Senior IC AI/ML software engineer (GPU/CUDA)
Builds
Optimized GPU reference code and application performance solutions
Domain
AI/Deep Learning, High-Performance Computing (HPC), GPU Architecture
Deliverable
production ML models
Required skills
C/C++, Python, CUDA C/C++, parallel programming, LLM training framework development, performance optimization, linear algebra, numerical methods
Preferred skills
Domain expertise in LLM, CTR, CV, or HPC
Technologies
CUDA, LLM training frameworks
Responsibilities
Craft and optimize core parallel algorithms and data structures using GPUs; Collaborate with architecture, research, libraries, tools, and system software teams to influence next-generation software platform design; Travel for conferences and on-site visits with developers
Seniority
Senior, hands-on IC
