This role pays more than
50%
of similar roles. Most pay
$162,000–$246,150
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$204k
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
899 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 886 roles with salary data.
As a Senior Applied AI Engineer, you will join the team to build intelligent software systems that improve engineering productivity and software quality at scale. You will develop AI-powered workflows and services designed to analyze complex code changes, surface signals from large datasets, and accelerate debugging and decision-making processes. Your daily responsibilities include building production services for orchestration, retrieval, evaluation, and monitoring while evaluating emerging models and frameworks to optimize quality, latency, and cost. The role requires expertise in Python, LLM-based applications, retrieval-augmented generation, agentic workflows, and orchestration frameworks. You will work within Git-based development environments involving multi-repository codebases. This position focuses on the intersection of software engineering and machine learning to solve practical problems related to developer tools, code intelligence, testing, and automated debugging workflows in real engineering environments.
Python
Generative AI
LLMs
LangChain
LangGraph
LangSmith
LlamaIndex
Hugging Face
Anthropic API
Vector Databases
Knowledge Graphs
Java
Spring AI
LangChain4j
Embabel
Distributed Systems
Go
AI
SaaS
RESTful APIs
Microservices
SQL Server
PostgreSQL
CI/CD
Kubernetes
Docker
Terraform
Linux
MLOps
Vector Databases
Retrieval-Augmented Generation
Distributed Systems
NoSQL