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Senior Deep Learning Infrastructure Engineer
full-timeSanta Clara, Austin$224k - $356k

Summary

Location

Santa Clara, Austin

Salary

$224k - $356k

Type

full-time

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About this role

NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

NVIDIA is seeking top-tier Senior Deep Learning Infrastructure Engineers. In this role, you will play a crucial part in building the deep learning infrastructure that powers our AI agents for VLSI design, driving innovation and efficiency in chip development. Join us in a dynamic, professional, and growth-oriented environment where your expertise will have a significant impact on the future of technology. If you are passionate about crafting groundbreaking solutions and contributing to a meaningful, technology-focused company, this is your opportunity to shape the next generation of AI-driven chip design.

What you'll be doing:

  • Work towards building applications and developing infrastructure for a highly scalable deep learning platform.

  • Design, build, and maintain high bandwidth data-pipelines and related infrastructure, such as APIs, databases and services.

  • Work closely with domain experts, research teams and take ownership of productizing, releasing and maintaining deep learning products.

  • Be an engineering generalist. Discover and build skills needed at different times towards solving problems at hand.

What we need to see:

  • Bachelor’s/Master's degree in computer science, engineering, or related field (or equivalent experience)

  • Minimum 6+ years of experience in services, pipelines, API development and system design.

  • Expertise in Python, JavaScript or another similar programming language

  • Zeal to learn and perform beyond prior experience and expertise.

Ways to stand out from the crowd:

  • Experience in dev-ops, full-stack development, databases and cloud computing.

  • Fundamentals in machine learning and experience in building RAG pipeline or other LLM applications.

NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented 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 the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 24, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

Other facts

Tech stack
Deep Learning,Infrastructure Engineering,Python,JavaScript,API Development,System Design,Dev-Ops,Full-Stack Development,Databases,Cloud Computing,Machine Learning,RAG Pipeline,LLM Applications

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Computer Hardware Manufacturing
Founding Year: 1993

What you'll do

  • You will build applications and develop infrastructure for a scalable deep learning platform. This includes designing, building, and maintaining data pipelines and collaborating with domain experts to productize deep learning products.

Ready to join NVIDIA?

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Frequently Asked Questions

What does NVIDIA pay for a Senior Deep Learning Infrastructure Engineer?

NVIDIA offers a competitive compensation package for the Senior Deep Learning Infrastructure Engineer role. The salary range is USD 224k - 357k per year. Apply through Clera to learn more about the full compensation details.

What does a Senior Deep Learning Infrastructure Engineer do at NVIDIA?

As a Senior Deep Learning Infrastructure Engineer at NVIDIA, you will: you will build applications and develop infrastructure for a scalable deep learning platform. This includes designing, building, and maintaining data pipelines and collaborating with domain experts to productize deep learning products..

Why join NVIDIA as a Senior Deep Learning Infrastructure Engineer?

NVIDIA is a leading Computer Hardware Manufacturing company. The Senior Deep Learning Infrastructure Engineer role offers competitive compensation.

Is the Senior Deep Learning Infrastructure Engineer position at NVIDIA remote?

The Senior Deep Learning Infrastructure Engineer position at NVIDIA is based in Santa Clara, California, United States and Austin, Texas, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Senior Deep Learning Infrastructure Engineer position at NVIDIA?

You can apply for the Senior Deep Learning Infrastructure Engineer position at NVIDIA directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about NVIDIA on their website.