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NVIDIA

Designs the chips and software that power AI

Senior Software Engineer - Infrastructure and Network Automation

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeYokne'am Illit, IsraelNo salary listedIn-person

About the Job

Requirements

  • A B.Sc. in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Proven experience in software development.
  • At least 5 years of strong hands-on experience on Linux-based platforms.
  • Proficiency in scripting and automation with Bash, Python, and Ansible.
  • Experience with version control systems such as Git and CI/CD pipelines.
  • Strong ownership, debugging, problem-solving, and communication abilities.

Responsibilities

  • Develop and construct durable network automation frameworks for provisioning, configuration, and observation of HPC data centers, increasing infrastructure efficiency and consistency.
  • Collaborate with internal and external teams to integrate and implement technologies.
  • Troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.
  • Work cross-functionally with architects, DevOps engineers, product managers, and collaborators to ensure high-quality releases.
  • Participate in code reviews, technical build discussions, and continuous improvement activities within the team.

Desired Qualifications

  • Background in DevOps methodologies and Network Engineering practices.
  • Solid understanding of networking concepts, protocols, and technologies.
  • Experience with agentic AI development.
  • Hands-on experience with large-scale network architectures, switches and routers, OVS, SR-IOV, and network operating and management systems.
  • Networking expertise in Ethernet, VLANs, TCP/UDP/IP, QoS, L2/L3 protocols, BGP, EVPN/VXLAN, and common network topologies.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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