Head of AI Engineering Productivity, Global Cluster Engineering
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How this pay compares to similar roles
This role pays more than 94% of similar roles. Most pay $202,850–$288,150 — the blue band above. At the midpoint, this role pays about $367k versus about $246k 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 1463 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.
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At a glance
The Director, AI Enablement joins the AI Enablement team to accelerate AI adoption and agentic developments across various engineering and non-engineering workflows. This leader will develop an AI enablement roadmap, building state-of-the-art AI systems, tools, services, and blueprints to optimize development for software and hardware workflows. The role involves working with cross-organizational leaders and external partners to address growth needs and improve general productivity. Key requirements include deep knowledge of LLM, ML, and agentic development, along with proficiency in common AI tools from frontier providers and the OSS community. The position focuses on transforming the company into an AI native organization by solving complex problems related to software quality, productivity, and the rapid integration of frontier AI technologies into enterprise-scale development processes.
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