Design and implement features to accelerate network and storage in open-source cloud platforms like Kubernetes, working closely with open-source communities and cross-functional teams. The role requires a B.Sc. in Computer Science or equivalent, plus two or more years of hands-on software development experience, preferably with C, Python, or Go. You'll need deep understanding of network protocols, virtualization, containers, and strong experience with Kubernetes or OpenStack ecosystems.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA is looking for an excellent Software Developer to work on open-source cloud platforms such as Kubernetes. We are seeking an 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 NICs and Bluefield DPUs. We are looking 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:
B.Sc. in Computer Science or equivalent program experience
2+ years hands-on experience in software development, preferably with C/Python/Golang
Highly motivated with strong communication skills, 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
Wide hands-on experience with Kubernetes or OpenStack echo systems
Ways to stand out from the crowd:
Experience with working on open source projects
Background with SR-IOV, K8S, K8S controllers, CNI.
Wide hands-on experience with OVN and OVS
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. Please contact us to request an accommodation.
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Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.