Senior SOCD Applied AI Engineer

$168k - $311k • US, CA, Santa Clara

Posted 1mo ago

Remote Work Policy

On-site

Categories

AI Engineer

About the job

Nvidia's SOC Design team is seeking an Applied AI Engineer to drive intelligent automation in SOC integration workflows. This role involves building AI-powered tools, agents, and solutions to significantly reduce cycle time and manual effort. You will collaborate with SOCD execution and methodology teams to identify opportunities for AI acceleration, implementing solutions ranging from RAG-grounded knowledge systems and LLM assistants to multi-step agents integrated into internal design infrastructure.

Responsibilities

  • Develop LLM-powered tools for tasks like design review summarization, signoff status aggregation, and CI/CD pipeline gating.
  • Build and deploy RAG-based knowledge systems using internal design documentation.
  • Design AI-assisted coding workflows, including agent-based development tools and reusable prompt templates.
  • Own the reliability and evaluation of AI systems, including logging, tracing, and output validation.
  • Collaborate with SOCD teams to scope problems, validate solutions, and define productivity metrics.

Requirements

  • 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 for designing, prototyping, and productizing AI-enabled services and tools.
  • Practical experience building LLM-powered agents or agentic workflows using coding agents.
  • Hands-on experience with LLM application frameworks (e.g., LangChain, LlamaIndex) and RAG architectures.
  • Solid software engineering fundamentals including system design, API design, testing, CI/CD, and distributed systems.
  • Ability to identify workflows suitable for AI-enabled tools and automations.
  • Demonstrated end-to-end ownership of engineering solutions.
  • Excellent communication and collaboration skills.

Benefits

  • Competitive salaries
  • Generous benefits package
  • Equity
  • Health insurance
  • Paid time off

About nvidia

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