Senior Network Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 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
  • 5+ years of practical experience
  • Experience in Congestion Control/DCQCN, Switches and knowledge 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

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, 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

Skills

Linux
Ethernet
InfiniBand
DCQCN
NCCL
MPI
Congestion Control
L2 Networking
L3 Networking
Switches

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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