Senior Network and Storage Test Engineer

Reposted 6 Days Ago
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Yokneam
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Network and Storage Test Engineer will design and execute tests for Ethernet/InfiniBand NIC and Switch features, mentor automation teams, and troubleshoot customer use cases.
Summary Generated by Built In

We are looking for a Senior Network and Storage Test Engineer to join our End-to-End NCS (Networking Cloud Solutions) team. You are going to be part of the E2E Verification team with the main goal of testing and be part of defining the most sophisticated Ethernet/InfiniBand NIC and Switch features and topologies, which build fast enablement for the NVIDIA products to meet growing market demands. The ideal candidate will engage in testing  and defining of Networking industry-leading systems and will bring with him an ability of the fast learning of new features, technologies, and protocol.

What you'll be doing:

  • Contribute to design review and product features requirements under the whole Ethernet/InfiniBand NIC & Switch portfolio and AI network.

  • Design and build setup topologies for appropriate product coverage with an emphasis on an emulation of customer large scale / complex environments.

  • Design, mentorship for testing automation team, and implement tests for the new features, as part of NVIDIA growing network switch and adaptors division.

  • Lead innovation approach by prepare and deploy different POC activities, based on the growing field demands.

  • Generate comprehensive test reports during release execution procedure, assist with reproduction and debugs complex customer use cases, with determination of the issue root cause, be an engineering PIC for the full verification cycles of the customer use cases fixes provided by R&D team.

  • Execute end-to-end test scenarios in different scopes: Regression, Performance, Functional and Scale; Report the progress of testing and provide summary reports of testing activity.

What we need to see:

  • B.A./B.Sc. in Computer Science or Electrical Engineering or equivalent experience as IT/Network Engineer

  • 8+ years of practical experience

  • Experience in Congestion Control/DCQCN, Switches and knowledges about collective communication: NCCL, MPI etc

  • Very Strong Hands-on experience in Linux based platform

  • Experience with L2 & L3 network protocols

  • Fast and self-learner with outstanding technical skills

  • Independent, responsible worker, able to plan and complete

  • Effective trouble shooting and problem-solving skills

  • Standout colleague with good communication and interpersonal skills

Ways to stand out from the crowd:

  • Experience with virtualization technologies (KVM, HyperV, VMWARE, OpenStack, Kubernetes)

  • Background with NAS and/or SAN storage systems

  • Scripting skills and experience: Bash / Python

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.

Top Skills

Bash
Congestion Control
Dcqcn
Hyperv
Kubernetes
Kvm
L2 Protocols
L3 Protocols
Linux
Openstack
Python
VMware
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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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