Network and System Verification Engineer, E2E at NVIDIA

Tel Aviv-Yafo, TA, Israel

NVIDIA Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Networking, AIIndustries

Requirements

  • B.A./B.Sc. in Computer Science or Electrical Engineering or equivalent experience as IT/Network Engineer
  • 2+ years of practical experience
  • 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
  • Experience with virtualization technologies (KVM, HyperV, VMWARE, OpenStack, Kubernetes)
  • Experience in Congestion Control/DCQCN, Switches and knowledges about collective communication: NCCL, MPI etc
  • Scripting skills and experience: Bash / Python

Responsibilities

  • 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 requirements, 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

Skills

Key technologies and capabilities for this role

LinuxL2 protocolsL3 protocolsEthernetInfiniBandNICSwitchnetwork testingtest automationsystem verification

Questions & Answers

Common questions about this position

What education and experience are required for this Network and System Verification Engineer role?

A B.A./B.Sc. in Computer Science or Electrical Engineering or equivalent experience as IT/Network Engineer is required, along with 2+ years of practical experience, strong hands-on experience in Linux based platform, and experience with L2 & L3 network protocols.

What are the key responsibilities in this position?

Responsibilities include contributing to design reviews, building setup topologies, designing test requirements and implementing tests, leading POC activities, generating test reports, assisting with debugs, and executing end-to-end test scenarios like regression, performance, functional, and scale.

What skills will help me stand out as a candidate?

Experience with virtualization technologies like KVM, HyperV, VMWARE, OpenStack, Kubernetes; experience in Congestion Control/DCQCN, Switches, and collective communication like NCCL, MPI; and scripting skills in Bash or Python will make you stand out.

What is the company culture like at NVIDIA for this team?

NVIDIA seeks creative and autonomous individuals to join their forward-thinking and hardworking team, valuing standout colleagues with good communication and interpersonal skills.

Is the salary or compensation specified for this role?

This information is not specified in the job description.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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