Senior Applied AI Engineer

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$152,000–$241,500 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $197k
$139k $252k
below market most similar roles pay here above market

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

About Nvidia

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.

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View all roles at Nvidia

At a glance

TL;DR · Senior Applied AI Engineer

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.

What you'll do

  • Build AI-powered systems and workflows to enhance software quality and engineering efficiency.
  • Develop intelligent tools for analyzing large codebases and engineering signals to identify issues.
  • Build and maintain production infrastructure for AI applications, including orchestration and monitoring.
  • Translate real-world workflow problems from software engineers into practical AI solutions.
  • Evaluate emerging models and frameworks to optimize quality, latency, reliability, and cost.
  • Drive projects from early concept through production deployment and continuous improvement.
  • Implement LLM-based applications, retrieval-augmented generation, and agentic workflows.

What we're looking for

  • 5+ years of proven experience or related field.
  • B.S. or higher degree in Computer Science/Engineering or equivalent experience.
  • Strong software engineering fundamentals with excellent Python skills and experience building production-quality systems.
  • Hands-on experience building and deploying AI or ML systems, data-intensive backend services, or intelligent automation workflows.
  • Experience with LLM-based applications, retrieval-augmented generation, agentic workflows, or orchestration frameworks.
  • Strong familiarity with Git-based development workflows and large multi-repository codebases.
  • Experience building AI systems for developer tools, code intelligence, software quality, testing, or debugging workflows (preferred).
  • Familiarity with model evaluation, prompt design, observability, and production monitoring for AI systems (preferred).

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