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NVIDIA

Designs the chips and software that power AI

Junior Solution Validation Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeYokne'am Illit, IsraelNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Electrical Engineering, Computer Engineering, Information Systems, or a related field is required.
  • At least 2 years of hands-on experience in system validation, networking, or a related engineering field is required.
  • Hands-on experience with Linux environments and debugging tools is required.
  • Proficiency in Python and/or Bash for automation and scripting is required.
  • Experience with telemetry, streaming data systems, or data analysis for cluster health monitoring is required.
  • Strong troubleshooting ability and a structured approach to problem-solving are required.
  • Ability and eagerness to develop architecture-level understanding of complex systems is required.
  • Clear, concise communication skills and strong technical writing ability are required.

Responsibilities

  • Own system-level validation across the full stack, from physical-layer interfaces to cluster-wide telemetry.
  • Investigate and resolve issues spanning networking, PCIe, InfiniBand, and other high-performance interfaces.
  • Drive root-cause analysis and define corrective actions.
  • Build and automate tools that provide deeper visibility into system health, stability, and performance.
  • Analyze logs and telemetry data to surface failures, anomalies, and bottlenecks before they become problems.
  • Collaborate with hardware, firmware, software, and AI teams to improve debuggability and system resilience.

Desired Qualifications

  • Familiarity with PHY, networking protocols, or system architecture.
  • Experience with AI-driven monitoring and analytics platforms.
  • Knowledge of MTBI/MTBF analysis and incident investigation methodologies.
  • Hands-on experience with NVIDIA networking technologies, including InfiniBand, Ethernet, or NVLink, in large-scale deployments.

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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