System Software Engineer, Distributed Systems

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and develop core components for VLSI productivity platforms while improving existing systems and alleviating engineering bottlenecks.
Summary Generated by Built In

We are looking for inquisitive and driven full-time software engineers with a strong interest in building high-quality, long-lasting systems. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building tools and platforms that supercharge their everyday work. From databases to web applications, build automation to machine learning, and on-prem infrastructure to cloud workloads, our team handles it all. Want to know how NVIDIA stays at the top of the pack? Come join us to find out!

What you will be doing:

You will be responsible for design, development, and delivery of core components of our next-generation VLSI productivity platforms.

  • Design, build, deploy, and improve highly scalable systems

  • Translate high-level requirements into actionable plans/deliverables

  • Leverage LLMs to accelerate (not replace) your contribution while taking ownership of your output

  • Convert legacy codebases into modern powerhouses infused with industry best-practices

  • Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks

What we need to see:

  • B.S. CS/EE (or equivalent experience)

  • 5+ years developing large-scale software applications in Go and Python

  • Solid computer science fundamentals in algorithms/data structures/complexity analyses

  • Understand processes, synchronization, locks, concurrency, and load-balancing

  • Excellent grasp of distributed systems and compute abstractions

  • Experience building custom solutions around open-source products and libraries to solve feature-gaps fast

Ways to stand out from the crowd:

  • 5+ years in an enterprise engineering environment, shipping at scale

  • Experience in partitioning and optimizing complex interconnected systems

  • Understand filesystems, job-scheduling, and inter-process signaling

  • Highly self-sufficient in the face of ambiguity, with strong reasoning and problem-solving skills

  • Rapid comprehension of existing codebases (in any language) to implement high-leverage changes effectively

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 24, 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

Cloud Workloads
Databases
Distributed Systems
Go
Machine Learning
Python
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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