Senior Software Engineer, Platforms

Posted 18 Hours Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
You will design and develop software for the Cumulus Linux operating system, work on bringing it up on next-generation Nvidia switches, and maintain software using Python, C, and Shell. Collaborate across teams to deliver features, debug issues reported by testing and customers, and work with open-source software.
Summary Generated by Built In

NVIDIA is looking for Senior Software Engineer to join the Cumulus Linux team!

We present you with an opportunity to be part of the team that develops the Network Operating System that powers data centers that are accelerated, disaggregated and software-defined to meet the exploding growth in AI and high-performance computing. You'll be part of a software development team responsible for defining and implementing core platform services, as well as Reliability, Availability and Serviceability features for Cumulus Linux, the Debian-based operating system for NVIDIA's market-leading Ethernet switches.

What you'll be doing:

  • Designing and developing software for Cumulus Linux operating system (OS) which runs on NVIDIA's portfolio of data center switches.

  • Working on bringing up Cumulus Linux on next generation Nvidia switches.

  • Developing and maintaining software in Python, C and Shell for our OS.

  • Collaborating with product, architecture, and engineering teams to deliver features on Cumulus Linux’s roadmap.

  • Debugging and resolving issues reported by test and customer-facing teams.

  • Working with open source software that is part of our OS and fixing issues as they arise.

What we need to see:

  • Master of Science in Electrical Engineering, Computer Science, Computer Engineering or Bachelors (or equivalent experience)

  • 5+ years of proven experience writing enterprise software.

  • Strong C and Python coding skills.

  • Previous experience with I2C, PSUs, SMBus, PHY Layer technologies and doing hardware bringups.

  • Good knowledge of Linux systems administration, Linux internals and tools.

  • Experience using source code management tools, as well as code coverage, unit testing and debugging tools.

  • Excellent written and verbal communication and interpersonal skills.

  • Able to work independently with minimal direction.

Ways to stand out from the crowd:

  • Strong background in Linux systems and Linux kernel networking.

  • Strong background in debugging kernel and hardware issues.

  • Familiarity with Data Center Networking technologies.

  • Exposure to CI/CD tools,

  • Loves to work in a collaborative environment.

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 tremendous growth, our best-in-class 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.

#LI-Hybrid

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

C
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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