Senior Staff Software Engineer, AI Applications and Platform Foundations

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Posted: 7 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k

This role $236k

$144k most similar roles pay here $303k

This role pays more than 77% of similar roles. Most pay $170,000–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $203k 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 928 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 915 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Staff Software Engineer, AI Applications and Platform Foundations

Role Posting Log in to save

NVIDIA’s Enterprise AI team is hiring a Senior Staff Software Engineer to architect and build the foundation for next-generation AI applications. This role involves driving technical decisions across user experiences, backend services, APIs, data pipelines, and platform infrastructure while establishing engineering excellence through robust testing strategies, CI/CD, observability, and performance optimization. The ideal candidate will have 10+ years of experience in designing large-scale production software systems with expertise in full-stack development, cloud-native architectures, and AI technologies such as LLMs and agent frameworks. They should be familiar with enterprise application deployment, security, and multi-agent systems, and possess deep knowledge of software quality, testing, observability, and operational excellence. This position requires hands-on technical leadership and the ability to influence technical direction across teams while mentoring engineers and driving architectural alignment.

Skills

TypeScript JavaScript React Electron Flutter LLMs RAG Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL Redis Python Terraform AWS Azure Git GitHub NVIDIA NeMo NVIDIA NIM TensorRT-LLM

What you'll do

Architect and deliver production AI applications across multiple platforms.
Establish engineering excellence through robust testing strategies and CI/CD pipelines.
Build shared AI foundations including agent orchestration and memory services.
Operationalize NVIDIA’s AI technologies in enterprise production environments.
Mentor engineers and drive architectural alignment with product managers.

What we're looking for

10+ years experience designing, building, and operating large-scale production software systems.
Strong full-stack development skills including modern frontend technologies and backend services.
Expertise in cloud-native architectures, scalable platform infrastructure, and distributed systems.
Deep knowledge of software quality, testing strategies, observability, and operational excellence.
Experience with AI-powered applications using LLMs, RAG, agent frameworks, memory systems.
Familiarity with enterprise application deployment, security, authentication, and lifecycle management.

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