Soc Ai Application Engineer — Ai Services, Agents And Knowledge Systems
NVIDIA
Not specified; not specified; not specified
Python programming and service shipping
Langchain framework and rag implementation
Llm application architecture and api design
The role focuses on upgrading conventional SOC design flows by building AI application-layer services that boost hardware execution team efficiency
Job Summary
The role focuses on upgrading conventional SOC design flows by building AI application-layer services that boost hardware execution team efficiency.
Candidates will design and operate LLM-backed services including APIs, async jobs, streaming responses, and complex RAG pipelines with vector retrieval.
Success requires collaborating with Methodology, CAD, and Design teams to scope problems and deliver production-ready AI features aligned with hardware workflows.
Matching Summary
The role focuses on upgrading conventional SOC design flows by building AI application-layer services that boost hardware execution team efficiency.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Python programming and service shipping
LangChain framework and RAG implementation
LLM application architecture and API design
Vector database retrieval and evaluation
Agent orchestration and coding assistant workflows
Nice-to-have
RTL and Makefile coding capability
SOC design and physical design knowledge
React TypeScript frontend development
FastAPI full-stack integration skills
Passion for AI plus hardware convergence
Key Requirements
MS or PhD in CS, CE, or EE
1–5 years professional AI service development experience
Strong software engineering habits and testing practices