Do you want to take part in accelerating the networking solution across NVIDIA's product portfolio? NVIDIA Co-packaged silicon-photonics group is seeking a dedicated R&D engineer to join our lasers and silicon-photonics validation team. We are seeking a skilled and experienced lasers and electro-optics engineer or physicist to join our team. The ideal candidate will have deep understanding of optics, lasers, and fiber-optic technology, together with expertise in laser testing, characterization, and packaging.
In this role you will participate in laser development for different networking products, including test setup design and test automation, perform tests and characterization of packaged lasers and of optical modules in a system. You will collaborate with cross-functional teams (R&D, verification, architects, FW, electronics, mechanics) internally and externally. This role requires hands-on experience and a deep understanding of optics and laser physics, high-speed testing, excellent Integration, problem-solving skills, and strong communication abilities.
What you’ll be doing:
Develop, implement and automate testing methodologies and procedures for laser characterization and performance evaluation , including power, wavelength, modulation, and noise measurements.
Document experimental results accurately and clearly present findings.
You will lead the design of verification setups for bringing up and testing the new SiPh transceiver chips.
Develop and implement laser testing methodologies and procedures to perform laser testing and characterization, including modulation and noise measurements.
Provide technical support and assistance to manufacturers of silicon photonics testing platforms.
Troubleshoot and diagnose technical issues related to equipment, processes, and software.
Document experimental procedures, results, and findings accurately and comprehensively.
Collaborate with cross-functional teams, including engineering, product development, and manufacturing, to resolve complex technical issues and implement system upgrades or modifications.
What we need to see:
BSc. Degree (MSc. or PhD an advantage) in Electrical Engineering or Physics or related fields, with more than 5 years of experience.
5+ years of relevant experience in both laser testing and in high-speed electro-optical testing.
Proven experience working in an optics and laser laboratory, preferably in a research or development environment.
Strong problem-solving, debugging, and analysis with examples to prove it.
Experience with establishing complex optical lab setups. Proficient in using various electro-optical & electrical measurement tools.
Strong collaborative and interpersonal skills, with an ability to successfully guide and influence.
Ability to manage multiple tasks and priorities simultaneously, and work independently and demonstrate a high level of initiative and self-motivation.
Ways to stand out from the crowd:
Strong knowledge of laser diode physics, fiber optic technology, and silicon photonics technology and devices.
Experience with high-speed signal measurement of electro-optical devices.
Knowledge of programming languages, such as MATLAB, Python, or LabVIEW, for data analysis and automation.
Post-silicon validation and/or customer on-site debug/FA.
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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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.”
