High Performance AI Engineer
Core
Design, build, and optimize agentic AI systems and multi-agent runtimes for the CUDA ecosystem to accelerate agent planning, tool-use, and code generation.
Role type
Senior IC high-performance AI engineer (CUDA ecosystem)
Builds
GPU-centric agentic runtimes, compiler-integrated orchestration, and high-fidelity evaluation frameworks for multi-agent workloads
Domain
Accelerated computing, GPU programming, multi-agent AI systems
Deliverable
production ML models
Required skills
C/C++, Python, GPU programming, CUDA, deep learning frameworks, software engineering fundamentals, performance optimization
Preferred skills
building/evaluating deep learning models, coding agents, deploying high-performance models on resource-constrained platforms, GPU performance optimization, publications in multi-agent systems or reinforcement learning
Technologies
CUDA, deep learning frameworks, compilers, toolchains, kernels, libraries
Responsibilities
Design and build agentic AI systems for the CUDA ecosystem; co-design system solutions with software, hardware, and algorithm teams; develop reproducible evaluation frameworks for performance and quality; collaborate across the AI stack from hardware to inference/serving
Seniority
Senior, hands-on IC