Key skills
PythonC++CAIDeep LearningAgenticPerformance Optimization
About this role
Role Overview
- Design, build and optimize agentic AI systems for the CUDA ecosystem
- Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available
- Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity
- Collaborate across the AI stack—from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model/agent teams
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred
- 6+ years of industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks
- Strong C/C++ and Python programming skills; solid software engineering fundamentals
- Experience with GPU programming and performance optimization (CUDA or equivalent)
Tech Stack
- Python
Benefits
- competitive salaries
- generous benefits package