Senior Systems Software Engineer, Deep Learning Infrastructure

Posted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves building applications and infrastructure for a scalable deep learning platform, focusing on data pipelines, APIs, and collaboration with research teams.
Summary Generated by Built In

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 May 19, 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.

Skills Required

  • 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 similar programming language

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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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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