Software Engineer, AI Infrastructure - New College Grad 2026

Posted 4 Days Ago
Santa Clara, CA
In-Office
104K-190K Annually
Entry level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As an AI Infrastructure engineer, you will design and enhance scalable infrastructure for AI applications, collaborating with researchers to drive architectural improvements and stay abreast of AI infrastructure advancements.
Summary Generated by Built In

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to address, that matters to the world, and that only we can address. This is our life’s work, to amplify human imagination and intelligence, and expand what is possible. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Make the choice to join us today.

As an AI Infrastructure engineer, you’ll work alongside researchers and collaborate in the development and maintenance of core infrastructure for AI agents and tools. This is a unique opportunity to learn, grow, and make an impact in a supportive, innovative environment.

What you'll be doing:

  • Help design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools.

  • Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale.

  • Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation.

What we need to see:

  • Bachelor's degree or higher in Computer Science or other related field (or equivalent experience).

  • Experience with Python (required) and JavaScript.

  • Knowledge of software engineering principles, OOP/functional programming, and writing high-performance, maintainable code.

  • Practical experience in AI, machine learning, or agent frameworks (e.g., LangChain, OpenAI Functions).

  • Exposure to microservices, web apps, or databases (SQL/NoSQL), containers (Docker), Kubernetes, or CI/CD pipelines, distributed messaging systems (e.g., Kafka) or event-driven architectures.

  • Excellent communication skills and a collaborative, proactive approach.

NVIDIA is widely recognized as one of the world’s most desirable employers. We bring together some of the most innovative and dedicated minds in the industry. Are you a creative and driven engineer ready for your next challenge? Join our AI Infrastructure team and help build the future of accelerated computing and chip design.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 104,000 USD - 172,500 USD for Level 1, and 120,000 USD - 189,750 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2025.NVIDIA is committed to fostering a diverse 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.

Top Skills

AI
Ci/Cd
Docker
JavaScript
Kafka
Kubernetes
Langchain
Machine Learning
Microservices
NoSQL
Openai Functions
Python
SQL
Web Applications
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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