Senior Software Engineer

Posted 6 Hours Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Software Engineer in the Cumulus Linux team, you will design and develop applications and infrastructure services for NVIDIA's network operating systems. Your role includes coding in Python, C, and Go, collaborating with other teams, debugging issues, and contributing to open-source communities.
Summary Generated by Built In

NVIDIA is looking for Senior Software Engineering to join NVIDIA in 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 infrastructure services, applications 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 applications and shared software infrastructure to be used in Cumulus Linux and NVIDIA's portfolio of network operating systems.

  • Developing and maintaining software in Python, C, Go and Shell to control switch devices and system interfaces.

  • Collaborating with product, architecture, and engineering teams for end-to-end integration of features into Linux and the Cumulus Linux distribution.

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

  • Work with upstream communities.

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.

  • Good knowledge of Linux internals, administration, and software packaging.

  • Tried experience as a Python developer with experience with different templating frameworks.

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

  • Familiar with virtualization and cloud native concepts.

  • Excellent written and verbal communication and interpersonal skills.

  • Able to work independently with minimal direction.

Ways to stand out from the crowd:

  • Background Linux kernel development, ideally in the networking space.

  • Familiarity with Layer 2, Layer 3 and Data Center Networking technologies.

  • Good knowledge around High Availability, Process Health Monitoring, software upgrades, etc.

  • Experience with timing synchronization protocols.

  • Exposure to CI/CD tools.

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.

#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
Go
Python
Shell
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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