About this role
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.