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Nvidia ICT and JTAG Test Engineer in Yokneam, Israel

NVIDIA seeks an experienced and innovative ICT & JTAG Test Engineer to join the System Product Engineering GMP team (SPE). You will work with the entire SPE team, HW and SW teams to debug, develop, and maintain our tests. That will enable our company to achieve strategic and tactical business goals. As a GMP ICT/JTAG Test Engineer, you will be part of a team that is responsible for maintaining all Mass-Production activities as part of the SPE team. You will take responsibility for performing test time reduction (TTR), end-of-life (EOL) support, bug resolution and deployment, HW second source modifications, and engineering change orders (ECOs) to support SPE’s activities.

What you'll be doing:

  • Optimization, integration, and maintain our ICT/JTAG production tests, from definitions until the end of the life cycle.

  • Yields stabilization and enhancements, increase test coverage, reduce test time, and consequently the products’ costs.

  • Maintain stable, efficient, smoothly running production tests, to enable higher capacity while ensuring the best quality of the network DPU/Adapters/Switch products that are being shipped to our customers.

  • Troubleshooting and full root cause analysis for production test matters.

  • You will thrive in a fast-paced, dynamic work environment, emphasizing technical excellence and innovative thinking.

What we need to see:

  • Bachelor’s degree in Electrical Engineering or an Electrical practical Engineer, or equivalent experience.

  • Minimum of 3 years of relevant experience in ICT/JTAG test development.

  • Proven experience with development on Teradyne/TRI/HP testers.

  • Experience in one of the following: HW design, HW validation, HW debugging, and failure analysis.

  • Knowledge of high-speed electrical designs in the networking field.

  • Excellent interpersonal and communication skills in English.

Ways to stand out from the crowd:

  • Strong problem-solving ability.

  • Experience with manufacturing environment and large-scale mass production.

  • Data analysis experience, preferably in JMP and other DA techniques.

  • Knowledge of Unix/Linux/Win OS.

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