Senior SOCD Applied AI Engineer
AI summary of the role
NVIDIA's SOC Design team seeks an Applied AI Engineer to build LLM-powered tools, RAG systems, and agentic workflows that automate SOC integration tasks like design review summarization, signoff aggregation, and CI/CD gating.
What you’ll do
- Develop LLM-powered tools for design review summarization, signoff status aggregation, integration checklist enforcement, CI/CD pipeline gating, and cross-team status reporting.
- Build and deploy RAG-based knowledge systems grounded in internal design documentation and execution artifacts.
- Design AI-assisted coding workflows including agent-based development tools, reusable prompt templates, and structured skills.
- Own reliability and evaluation of AI systems including logging, tracing, prompt regression testing, and output validation frameworks.
What you’ll bring
- BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
- 6+ years of experience building production-grade software systems.
- Proven experience shipping AI/LLM-powered applications, agents, or automation workflows into production.
- Strong Python skills with ability to design, prototype, and productize AI-enabled services and tools.
Technologies
LLM · RAG · LangChain · LlamaIndex · Python · Claude Code · OpenAI Codex · Cursor · MCP · FastAPI · React · TypeScript
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
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