---
title: Principal Software Engineer at NVIDIA
description: NVIDIA is hiring for the Principal Software Engineer role in Santa Clara, CA.
  Pays $248K–$391K per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/principal-software-engineer-at-nvidia-01a16be6-e3dd-748b-8261-d59847195ebc
date: 2026-11-15T01:26:44Z
og_description: Join NVIDIA as Principal Software Engineer in Santa Clara, CA. Pays $248K–$391K
  per year. Full-time, hybrid role.
og_image: https://www.foundrole.com/og/w7tzj8.png
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  - label: Home
    url: https://www.foundrole.com/
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---

| | |
|---|---|
| **Company** | [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) |
| **Location** | Santa Clara, CA (Hybrid) |
| **Salary** | $248K/yr - $391K/yr |
| **Type** | Full Time |
| **Posted** | Oct 23, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** NVIDIA sponsors H-1B visas. It filed 3,120 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for NVIDIA.

## Pay for similar jobs

Most similar jobs pay $197,000 – $236,000 a year (median $236,000).

## Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking to hire a deeply technical, creative, and hands-on Senior full-stack developer to build the next generation AI platforms and products that improve business efficiency and productivity. This engineer is expected to be familiar with concepts of RAG, agentic AI to be able to build AI products using SOTA agentic paradigms, third party platforms and open-source repos. As a key leader in our technology team, you will play a pivotal role in shaping the architecture, development, and scaling of our software systems. This role will give an opportunity to collaborate with Cloud, AI/ML & Generative AI workforce in a multifaceted and agile working environment, while meeting the immediate and evolving needs of our business.

## **What you’ll be doing:**

- Hands-on experience with test automation, production testing, and automation frameworks
- Solid understanding of Linux, embedded systems, firmware, and hardware/software integration
- Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions. Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications
- Ensure reliability, safety, and performance of autonomous systems operating at scale
- Architect and build agentic AI systems that leverage LLMs for reasoning, planning, and tool orchestration across enterprise workflows. Design and implement multi-agent frameworks enabling coordination, delegation, and dynamic task execution
- Develop scalable platforms for retrieval-augmented generation (RAG), long-term memory, and contextual reasoning
- Build reusable infrastructure for agent orchestration, tool integration, evaluation, and observability
- Establish best practices for agent evaluation, guardrails, and human-in-the-loop workflows
- Mentor engineers and provide technical leadership in designing complex distributed AI systems
- Stay at the forefront of advancements in LLMs, agent frameworks, tool use, reasoning architectures, and open-source ecosystems

## **What we need to see:**

- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering or related field (or equivalent experience)
- 15+ years of experience building large-scale distributed systems and cloud-native applications (Python preferred)
- Strong experience designing and deploying LLM-powered systems, including RAG, tool use, and agent-based architectures
- Deep understanding of agentic AI paradigms (planning, memory, tool invocation, multi-step reasoning)
- Experience with agent frameworks and orchestration tools (e.g., LangChain or similar)
- Proven ability to design systems with high reliability, scalability, and performance
- Hands-on experience deploying applications in Kubernetes environments. Experience building systems in cloud and hybrid environments
- Strong programming skills across multiple languages and modern software stacks
- Proven track record leading complex technical initiatives and mentoring high-performing teams
- Excellent problem-solving, communication, and system design skills

## **Ways to stand out from the crowd:**

- Experience enhancing enterprise efficiency and employee experience through the effective use of Generative AI based solutions.
- Fascinated by unique and difficult problems - resilient and persistent in the pursuit of solutions.
- Experience with Cloud Platforms, experience with Kubernetes and Docker.
- Self-motivation and a drive to get things to “done”.
- Excellent programming, debugging, performance analysis, and test design skills using python is a plus.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 248,000 USD – 391,000 USD.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
## Skills

- Multi-Agent Systems
- AI Agent Orchestration
- Cloud Computing
- Debugging
- Technical Leadership
- Self-Motivation
- Agentic AI
- Open-Source Software
- Building Management Systems (Bms)
- Employee Experience
- Cloud-Native Computing
- Performance Analysis
- Robotics
- Systems Design
- Problem Solving
- Planning
- Python
- Observability
- Automation
- Docker
- Hybrid Cloud Computing
- Production Testing
- Kubernetes
- Retrieval-Augmented Generation (Rag)
- Computer Graphics
- Scalability
- Mentoring
- Microservices
- LangChain
- Generative AI
- Delegation
- Embedded Systems
- Automated Testing
- Design Systems
- Coordinating
- Autonomous System
- GPU (Graphics Processing Unit)
- Large Language Models (Llm)
- Tool Calling
- AI Agent Frameworks
- Computer Engineering
- Systems Integration
- Computer Science
- Linux
- Human-in-the-Loop
- Communication
- Machine Learning
- Test Case Design
- Generative AI Foundations
- Equities
- Firmware
- Distributed Systems

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