Software Engineer, NVLINK

Posted 3 Days Ago
Santa Clara, CA
In-Office
120K-190K
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Software Engineer at NVIDIA, you will develop NVOS features, integrate with firmware, and support customers. Responsible for the entire development cycle of the switch Operating System.
Summary Generated by Built In

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you an outstanding Senior embedded SW engineer? We at NVIDIA are looking for you! Joining our team, you will have the opportunity to excel and develop brand-new switch products for one of the world's leading companies! NVIDIA is seeking an experienced Software Engineer to join the Networking Switch SW group, developing the switch Operating System (NVOS). Key role in developing the NVOS is critical for NVIDIA's next-gen networking tech for HPC data centers. Are you passionate about working on innovative technologies? Then we want to hear from you!

What you'll be doing:

  • Owning and leading the NVOS including development, testing flow and product life cycle.

  • As a Software Engineer at NVIDIA, you will develop NVOS features and support new products using both C++ and Python.

  • Lead NVOS integrations with FW, hardware, and production teams.

  • Support internal and external customers for any NVOS related items.

What we need to see:

  • B.Sc. in Computer Science, Software Engineering, or Electrical Engineering, or equivalent experience.

  • 3+ years of relevant industry experience.

  • Familiarity with C++ and Python.

  • Background with Networking.

  • Familiarity with AI tools for development or developing agents.

  • Proficiency working in a Linux environment.

  • Proactive, open-minded, and a quick learner.

  • Well-organized, agile, and capable of leading your own tasks.

  • Collaborative personality with a love for teamwork.

Ways to stand out from the crowd:

  • Proven experience with kernel.

  • Experience with SONiC.

  • Background in switch and/or networking environment – advantage.

  • Experience working with customers – advantage.

With competitive salaries and a generous benefits package, NVIDIA is 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 120,000 USD - 189,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 20, 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

C++
Linux
Python
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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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