Applied AI Engineer
Nvidia
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How this pay compares to similar roles
This role pays more than 54% of similar roles. Most pay $162,000–$235,750 — the blue band above. At the midpoint, this role pays about $197k versus about $199k 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 1763 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1151 roles with salary data.
Most-posted roles
At a glance
The Senior Applied AI Engineer joins the team to build intelligent software systems that improve engineering productivity and software quality at scale. You will develop AI-powered workflows and services to analyze complex code changes, surface signals from large engineering datasets, and accelerate debugging. Responsibilities include building production services for orchestration, retrieval, evaluation, and monitoring while translating workflow problems into practical AI solutions. You will evaluate emerging models and frameworks to optimize quality, latency, reliability, and cost. The role requires strong software engineering fundamentals, excellent Python skills, and experience building LLM-based applications, retrieval-augmented generation, and agentic workflows. You must navigate Git-based development workflows and multi-repository codebases to solve technical problems within the domain of developer tools, code intelligence, and software testing.
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