Senior SOCD Applied AI Engineer

Nvidia

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Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CA
Employment
Full-time
Posted
55 days ago
Freshness
Confirmed live today

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior SOCD Applied AI Engineer

The Senior SOCD Applied AI Engineer joins the SOC Design team to eliminate bottlenecks in SOC integration workflows through intelligent automation. You will develop LLM-powered tools for design review summarization, signoff status aggregation, and CI/CD pipeline gating while building RAG-based knowledge systems grounded in internal design documentation. Responsibilities include designing AI-assisted coding workflows, reusable prompt templates, and multi-step agents that plug into internal design infrastructure. You must own the reliability and evaluation of these systems using logging, tracing, and prompt regression testing. Required skills include Python, LangChain, LlamaIndex, and experience with vector databases, chunking, and embedding models. The role solves high-friction, knowledge-intensive problems in ASIC development and SOC integration by transforming repetitive workflows into practical AI-enabled tools and production-grade software systems.

What you'll do

  • Develop LLM-powered tools for design review summarization, signoff aggregation, and CI/CD pipeline gating.
  • Build and deploy RAG-based knowledge systems grounded in internal design documentation and execution artifacts.
  • Design AI-assisted coding workflows using agent-based development tools and reusable prompt templates.
  • Own the reliability and evaluation of AI systems through logging, tracing, and prompt regression testing.
  • Identify high-friction workflows and convert them into practical AI-enabled tools and automation.
  • Scope problems and define productivity metrics for deployed automation with SOCD execution teams.
  • Manage the end-to-end lifecycle of engineering solutions from architecture and development to production deployment.

What we're looking for

  • BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or a 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 environments.
  • Strong Python skills to design, prototype, and productize AI-enabled services, APIs, and automation workflows.
  • Practical experience building LLM-powered agents and using tools like Claude Code, OpenAI Codex, or Cursor.
  • Hands-on experience with LLM application frameworks (LangChain, LlamaIndex) and RAG architectures.
  • Solid software engineering fundamentals including system design, API design, testing, CI/CD, and distributed systems.
  • Advanced AI techniques like fine-tuning, domain-specific prompt engineering, or multi-agent orchestration (preferred).

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