NVIDIA is looking for a Product Hardware Engineer to join our Networking Product Engineering teams. In this role, you will work alongside experienced engineers to support the development, validation, manufacturing, and reliability of NVIDIA's cutting-edge networking systems. You will gain hands-on experience across hardware, software, firmware, manufacturing, and system-level debugging while contributing to the quality and performance of products deployed worldwide.

This is an excellent opportunity for recent graduates or early-career engineers who are passionate about technology, enjoy solving complex technical challenges, and are eager to learn in a collaborative and fast-paced environment.

What you'll be doing:

Support the development and validation of manufacturing test solutions for networking products.
Assist in debugging hardware and system-level issues in the lab using advanced laboratory equipment.
Participate in failure analysis investigations and help identify root causes of product issues.
Collaborate with Hardware, Software, Firmware, Manufacturing, Test Engineering, Quality, and Operations teams to resolve technical challenges.
Help monitor manufacturing test results, product quality, and production yield.
Analyze engineering data and support continuous product and process improvements.
Contribute to test plans, validation activities, and characterization of new products.
Develop simple automation scripts and data analysis tools using Python.

What we need to see:

B.Sc. or M.Sc. in Electrical Engineering or a related technical field.
Strong understanding of electronics, digital circuits, and embedded systems
Familiarity with laboratory equipment such as oscilloscopes, power supplies, or logic analyzers.
Basic programming or scripting experience.
Strong analytical and problem-solving skills.
Curiosity, willingness to learn, and a hands-on approach to technical challenges.
Excellent communication and teamwork skills.

Ways to stand out from the crowd:

Internship or academic project related to hardware design, validation, product engineering, or failure analysis.
Experience with PCB design, embedded systems, or high-speed interfaces.
Familiarity with Linux.
Knowledge of manufacturing, testing methodologies, or automation.
Experience analyzing engineering data using Python, MATLAB, or similar tools.