Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles
Job Summary
Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.
Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in NVIDIA's HW simulation analysis and GPU-kernel optimization workflows.
Mentor and improve teams through insights in agent orchestration, prompting, RAG, observability, crafting documentation and playbooks for NVIDIA's teams.
Matching Summary
Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.
Skills & Requirements
Must-have
AI Agents Solution Architect
LLM integration with domain tools
Agent orchestration and RAG pipelines
GPU capabilities and CUDA integration
Observability for AI systems
Nice-to-have
Collaboration with HW/SW experts
Translating heuristics into tools
Proactive and independent problem-solving
Handling uncertainty for gradual benefits
Key Requirements
7+ years in applied ML/AI or large-scale systems
3+ years crafting agentic or LLM-powered applications
B.Sc in Computer Science/Electrical Engineering
Proven ownership of end-to-end agentic system
Strong software engineering skills in Python and C++/Rust