Senior SOCD Applied AI Engineer

Job Title

Senior SOCD Applied AI Engineer

Role Summary

The SOC Design (SOCD) team seeks an Applied AI Engineer to build AI-powered tools, agents, and automation that reduce SOC integration cycle time and manual effort. You will partner with SOCD execution and methodology teams to identify automation opportunities and deliver production-grade AI services integrated with internal design infrastructure.

Experience Level

Senior level. The role expects senior experience; the posting indicates approximately 6+ years of professional software engineering experience.

Responsibilities

Deliver and operate AI-enabled systems that accelerate SOC integration workflows and developer productivity.

• Develop LLM-powered tools for tasks such as design review summarization, signoff aggregation, checklist enforcement, CI/CD gating, and cross-team status reporting.
• Build and deploy retrieval-augmented generation (RAG) systems grounded in internal documentation and execution artifacts.
• Design AI-assisted coding workflows and agent-based developer tools, including prompt templates and reusable skills.
• Implement reliability and evaluation practices: logging, tracing, prompt regression testing, and output validation.
• Collaborate with execution and methodology teams to scope problems, validate solutions, and define productivity metrics for deployed automation.

Requirements

Must-have technical skills and experience to perform the role.

• Proven track record shipping AI/LLM-powered applications, agents, or automation into production.
• Strong Python skills for designing, prototyping, and productizing AI services, APIs, integrations, and automation workflows.
• Hands-on experience with LLM application frameworks (e.g., LangChain, LlamaIndex) and RAG architectures, including chunking, embeddings, vector DBs, and retrieval design.
• Practical experience building agentic workflows or coding agents (Claude Code, OpenAI Codex, Cursor, or equivalent) to improve development workflows.
• Solid software engineering fundamentals: system and API design, testing, CI/CD, observability, security, databases, containers, and distributed/event-driven systems.
• Demonstrated end-to-end ownership from architecture through deployment and ongoing operations/support.
• Ability to identify repetitive or knowledge-intensive workflows and translate them into practical AI-enabled tools that improve productivity.
• Excellent communication and collaboration skills.

Education Requirements

BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field; or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.