Senior Software Engineer - Networking

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Software Engineer will design, develop, test, and maintain routing protocols and control plane software, working with technologies like BGP and OSPF. The role includes mentoring other engineers and collaborating with teams to enhance feature development.
Summary Generated by Built In

NVIDIA Cumulus Linux is the industry's most innovative open network operating system built with a flexible open architecture and comprehensive automation capabilities! We are looking for a highly motivated software engineer with experience in routing and control plane software. We are a small team that prides itself on innovation and agility. We work predominantly with and contribute significantly to Free Range Routing, the preeminent open routing suite in the industry. You will be using the latest software development tools and techniques, and will gain unique knowledge of how the switch operating system works and how large scale networks are constructed.

What you’ll be doing:

  • Designing, developing, testing and maintaining new functionality and improvements in different routing protocols and related control plane software. This will also include programmatic interfaces and APIs to the routing control subsystem.

  • Developing routing and network virtualization functionality in protocols and technologies like BGP, EVPN, OSPF, PIM and Segment Routing.

  • Collaborating with team members, architects and QA and Support teams on feature definition, development, release, and bug fixing.

What we need to see:

  • BS or MS degree in Computer Engineering, Computer Science, or a related field (or equivalent experience).

  • 8+ years of software development experience that spans multiple routing protocols including EVPN, BGP, PIM, OSPF, RIFT, or MPLS/SR.

  • Strong and proven experience in C programming.

  • Strong technical abilities, problem-solving, design, coding, and debugging skills.

  • Lead feature development, take full ownership of tasks from A-Z, and deliver independently with minimum supervision.

  • Ability to drive end-to-end design and development and provide mentorship and guidance to other engineers.

Ways to stand out from the crowd:

  • Significant hands-on experience with EVPN/OSPF/BGP/Multicast.

  • Experience in multiple control plane protocols for the data center environment.

  • Knowledge of Linux kernel networking and hardware forwarding.

  • Participation in the open-source community.

  • C/C++ and Python programming skills.

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.

The base salary range is 180,000 USD - 339,250 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
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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