Product Hardware Engineer

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.