NVIDIA Networking is looking for an excellent Software Manager to work on NVIDIA cloud platforms based on Kubernetes. We are seeking an experienced Manager who is deeply technical, hands-on, and has a wide system view. You will manage a team of experts, design & build complex cloud systems 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:
Lead distributed team of software developers
Take end-to-end responsibility for major features
Hands-on involvement in coding, debugging software
What we need to see:
B.Sc. in Computer Science or equivalent experience
10+ overall years of overall relevant experience with 3+ years of experience leading a team
Proven Experience in GoLang programming
Experience in extending Kubernetes with plugins
Self and quick learning abilities
Proven track record of working in remote & distributed teams
Ways to stand out from the crowd:
Experience in Linux & Networking
Excellent social and written communication skills
Knowledge with Kubernetes Networking / CNI plugins
Involvement in OpenSource projects / community
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. If you're creative and autonomous, we want to hear from you! 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.
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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.”
