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:
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Develop codes for Silicon Photonic test stations and automation.
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Collaborate with photonic device designers.
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Work with other test engineering and design validation teams to perform full test and device characterization of silicon photonic devices.
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Partner with module developers and design teams to do electro-optical testing of the modules.
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Collaborate with external instrument vendors to ensure seamless software and control integration.
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Work closely with hardware and software teams on functionality, interfaces, and documentation.
What We Need To See:
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MS or higher degree with a preference in EE, Physics, or material science.
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5+ overall years of working experience in a related field on optical systems or opto-electronics devices.
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Knowledge of optical systems, modules, components, and photonics devices (lasers, detectors, modulators, transceivers, DWDM system.)
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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.
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Experience of database (SQL) and data analysis tool (JMP, R, Python, etc.)
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Excellent written and verbal communication skills.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
