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Senior Software Engineer – Infrastructure & Network Automation

NVIDIA Corporation

Israel, YokneamPosted Oct 13, 2026
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Skills named in this posting

  • Ethernet
  • Python
NVIDIA is looking for a Senior Software Engineer to join NSV tools (Network Solutions Validation) group. As a senior team member, you will be part of a development effort of high-performing software automation systems for NVIDIA's Data Center environments. You will interact with NIC, OS, Switch, HCA, CPU and GPU compute as well as architects, network engineers, and developers. We drive the data growth of the world’s biggest companies. With dedicated engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge? What you'll be doing: • Developing and constructing durable network automation frameworks for the provisioning, configuration, and observation of HPC data centers, increasing the efficiency and consistency of our infrastructure. • Collaborating with internal and external collaborators teams to integrate and implement innovative technologies. • Troubleshooting issues in distributed environments and contributing to system observability and reliability improvements. • Working cross-functionally with architects, DevOps engineers, product managers and collaborators to ensure high-quality releases. • Participating in code reviews, technical build discussions, and continuous improvement activities within the team. What we need to see: • B.Sc. in Computer Science, Engineering, or a related field, or equivalent experience in practice. • Proven experience in software development. • 5+ years of strong hands-on experience on Linux-based platforms. • Proficient scripting and automation skills (Bash, Python, Ansible). • Experience with version control systems (Git) and CI/CD pipelines. • Independent, fast learner with a strong sense of ownership, excellent debugging and problem-solving skills, and effective communication abilities. Ways to stand out from the crowd: • 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/routers, OVS, SR-IOV, and network operating/management systems. • Networking expertise: Ethernet, VLANs, TCP/UDP/IP, QoS, L2/L3 protocols, BGP, EVPN/VXLAN, and common network topologies. At NVIDIA, join a committed team striving to push technological boundaries forward. Your work will assist us in remaining competitive at the top and leaving a lasting mark on the world. Apply now and find out how you can play a role in building the future of computing!

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Original posting: jobs.nvidia.com

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RISC-V ecosystem

NVIDIA Corporation in the RISC-V ecosystem

RISC-V International: Premier Board

Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.

  • NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
  • Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
  • Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage

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