Senior SOCD Applied AI Engineer

Nvidia

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CA
Salary
$168,000–$264,500 / yr
Posted
9 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k
This role $216k
$154k most similar roles pay here $276k

This role pays more than 52% of similar roles. Most pay $166,526–$246,150 — the shaded band above. At the midpoint, this role pays about $216k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

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. This role involves developing LLM-powered tools for high-value execution tasks such as design review summarization, signoff status aggregation, and CI/CD pipeline gating. The engineer will build RAG-based knowledge systems grounded in internal documentation and design AI-assisted coding workflows using agent-based development tools and prompt templates. Key responsibilities include owning the reliability of AI systems through logging, tracing, and regression testing while collaborating with methodology teams to define productivity metrics. Required skills include Python, experience with LangChain or LlamaIndex, RAG architectures, vector databases, and production software engineering fundamentals like API design and containerization. The role addresses technical challenges in ASIC development and SOC integration by transforming high-friction workflows into automated tools.

What you'll do

  • Develop LLM-powered tools for design review summarization, signoff aggregation, and checklist enforcement.
  • Build and deploy RAG-based knowledge systems grounded in internal design documentation and artifacts.
  • Design AI-assisted coding workflows including agent-based development tools and reusable prompt templates.
  • Manage the reliability of AI systems through logging, tracing, and prompt regression testing.
  • Identify high-friction manual workflows and convert them into automated AI-enabled tools.
  • Own the end-to-end lifecycle of engineering solutions from architecture and development to deployment.
  • Create internal tools and full-stack applications to surface AI capabilities for the SOCD team.

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 integration tools.
  • Practical experience with LLM application frameworks like LangChain or LlamaIndex and RAG architectures.
  • Experience building LLM-powered agents using tools such as Claude Code, OpenAI Codex, or Cursor.
  • Solid software engineering fundamentals including system design, API design, testing, CI/CD, and distributed systems.
  • Ability to identify high-friction workflows and transform them into practical AI-enabled tools and automation.

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