Senior Design Automation Engineer, Applied AI
Nvidia
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How this pay compares to similar roles
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
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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At a glance
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.
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