We are part of the global engineering team at NVIDIA that designs state-of-the-art GPUs for all applications, such as supercomputers, gaming consoles, and self-driving cars. Come join us in our mission to Engineer the next generation of best-in-class products. Our team's focus is on the architecture and design of CMOS and Silicon-Photonics high-speed chip interfaces (NVLink, IEEE, PCIE, USB, OIF) and other complex photonic functions.

We are seeking a senior level, self-driven professional with proven expertise to develop leading-edge test solutions for silicon photonics (SiPh) integrated circuit designs in the growing data center and high-performance computing markets. You will have the opportunity to work on developing high-speed active and passive photonics components, and contribute to the development of the next-generation photonics program.

What You Will Be Doing:

• Develop codes for Silicon Photonic test stations and automation.

• Collaborate with photonic device designers.

• Work with other test engineering and design validation teams to perform full test and device characterization of silicon photonic devices.

• Partner with module developers and design teams to do electro-optical testing of the modules.

• Collaborate with external instrument vendors to ensure seamless software and control integration.

• Work closely with hardware and software teams on functionality, interfaces, and documentation.

What We Need To See:

• MS or higher degree with a preference in EE, Physics, or material science.

• 5+ overall years of working experience in a related field on optical systems or opto-electronics devices.

• Knowledge of optical systems, modules, components, and photonics devices (lasers, detectors, modulators, transceivers, DWDM system.)

• Experience in test programing (Python, LabView, .net, etc.) with various instruments for semiconductor device testing, wafer probers and/or optical module testing. Familiar with optical component characterization techniques and optical test equipment is a plus.

• Experience of database (SQL) and data analysis tool (JMP, R, Python, etc.)

• Excellent written and verbal communication skills.