Level

NVIDIA

Hardware Engineer, Thermal Validation - Networking

AI in this role

Build thermal validation test setups and automation scripts while applying AI-assisted analysis to hardware performance data.

pythonflir-camerasthermocouplesdaq-systems
hardware-validationthermal-analysistest-automationdata-pipelines

NVIDIA's Networking Validation & Qualification team is looking for a Hardware Engineer to join our Thermal Validation team in Israel. This is a hardware-first role: your primary focus will be assembling test setups for switches, adapters (HCAs), and optical transceivers, then automating data collection and analysis to validate thermal performance under real-world conditions. The role spans hands-on lab engineering, test software development, tasks management, and coordination with the Qualification PM. Thermal domain knowledge is a strong plus — and something you will grow into on the job.


What you will be doing:

  • Design, build, and maintain test setups to drive switches, adapters, and optical transceivers at maximum power envelopes; select and operate instrumentation including power supplies, thermal sensors (thermocouples, RTDs), FLIR cameras, and data-acquisition systems.
  • Develop and maintain Python automation scripts to control lab instruments, execute test sequences, and collect results with minimal manual intervention.
  • Build data pipelines that aggregate, process, and visualize thermal and electrical test results; apply AI-assisted analysis techniques to surface trends, outliers, and pass/fail status.
  • Execute thermal validation test plans for air-cooled and liquid-cooled configurations; operate FLIR cameras, thermocouples, DAQ systems, and airflow meters, and calibrate instrumentation as required.
  • Identify thermal risks — marginal design, overheating, thermal throttling, hotspots — and collaborate with mechanical and thermal design teams to validate cooling solutions and document findings in data-driven reports.
  • Own day-to-day lab operations: equipment availability, calibration, setup documentation, and readiness; lead small-scope engineering projects from scope through delivery.
  • Partner with the Qualification PM to track deliverables, flag risks, communicate progress to stakeholders, and present data-driven findings to cross-functional teams.

What we need to see:

  • B.Sc. in Electrical Engineering or a closely related hardware discipline, or equivalent experience.
  • 2+ years of hands-on hardware lab experience (industry, military unit, or equivalent).
  • Proven skills with lab equipment: power supplies, multimeters, oscilloscopes, signal analyzers; ability to probe, measure, and interpret analog/digital signals.
  • Ability to read and understand schematics and board documentation.
  • Experience writing test automation or lab scripts in Python (or equivalent).
  • Structured, methodical approach to debugging and problem-solving.
  • Good technical English for reading datasheets and writing clear test reports.
  • Team-oriented mindset — comfortable working in a multi-discipline matrix environment.

Ways to stand out from the crowd:

  • Experience with thermal or environmental testing: temperature chambers, burn-in, airflow measurement, FLIR thermography.
  • Familiarity with electro-optical devices — lasers, photodiodes, optical transceivers — and their thermal behavior.
  • Experience applying data science or AI to test and reliability data.
  • Exposure to CFD or Thermal Simulation tools (ANSYS Icepak, FloTHERM)
  • Experience in team leading, project coordination or task ownership in a multi-discipline team.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

How we score this

Hardware Engineer, Thermal Validation - Networking at NVIDIA scores 45 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 2. An ordinary role whose duties require using AI tools, such as coding, writing or sourcing with an assistant.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Hardware ValidationThermal AnalysisTest AutomationData PipelinesPythonFlir CamerasThermocouplesDaq Systems

Questions you could be asked

  1. Tell me about a project where hardware validation was part of your work. What did you do?
  2. Tell me about a project where thermal analysis was part of your work. What did you do?
  3. Tell me about a project where test automation was part of your work. What did you do?
  4. Tell me about a project where data pipelines was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Hardware Validation, Thermal Analysis, Test Automation, Data Pipelines, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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