Senior AI Systems Engineer, Chip Design
Nvidia
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How this pay compares to similar roles
This role pays less than 67% of similar roles. Most pay $167,375–$227,500 — the blue band above. At the midpoint, this role pays about $177k versus about $197k 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 1623 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.
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JOB TITLE: Applied AI Engineer - VLSI Design The Applied AI Engineer - VLSI Design joins the custom RAM design team to develop and deploy AI agents that leverage machine learning models to solve complex problems in VLSI design. The role involves designing and building infrastructure for LLM-powered engineering assistants, multi-turn multi-modal dialogue systems, and agentic AI solutions integrated with CAD flow systems. Key responsibilities include building design databases and dashboards using agentic and deterministic retrieval mechanisms to expedite circuit design closure. The position requires proficiency in Python, data structures, algorithms, and software engineering principles. Candidates must have experience fine-tuning large language models, building multi-agent systems, RAG pipelines, and vector databases. This role addresses the technical challenge of enhancing the efficiency, productivity, and quality of VLSI design flows through innovative AI technologies.
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