Senior Software Golang Kubernetes Engineer

Reposted 25 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, build, and deploy cloud platforms based on Kubernetes. Mentor team members and work collaboratively across NVIDIA to implement features and improve software quality.
Summary Generated by Built In

NVIDIA Networking is looking for an excellent Software Developer to work on NVIDIA cloud platforms based on Kubernetes. We are seeking an experienced engineer who is deeply technical, hands-on, and has a wide system view. You will design, build and deploy high-performance and scalable clouds based on NVIDIA's superior ConnectX and Bluefield NICs and SpectrumX AI platform. We want to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you!

What you'll be doing:

  • Design and implement new features to accelerate Network and Storage

  • Work closely with open source communities, participate in the relevant working groups

  • Work with different teams across NVIDIA

  • Mentor members of the team, enabling them to deliver high-quality software

What we need to see:

  • BSc in Computer Science or equivalent program

  • 5+ years of hands-on experience in software development, preferably with Python/Golang

  • Highly motivated with strong communication skills, the ability to work successfully with multi-functional teams, developers, and architects

  • Coordinate effectively across organizational boundaries and geographies

  • Strong self-initiative, independence, and flexibility to a new technology

  • Deep understanding of network protocols, virtualization, and containers

  • Strong background in designing, implementing, and debugging complex software

  • Hands-on experience with Kubernetes

Ways to stand out from the crowd:

  • Experience with working on open source projects

  • Background with SR-IOV, DPDK, ROCE technologies

  • Experience in developing Kubernetes Operators, CSI plugins, CNI Plugins

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.

Skills Required

  • BSc in Computer Science or equivalent program
  • 5+ years of hands-on experience in software development, preferably with Python/Golang
  • Deep understanding of network protocols, virtualization, and containers
  • Strong background in designing, implementing, and debugging complex software
  • Hands-on experience with Kubernetes or OpenStack ecosystems

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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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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