Photonic Engineer, Machine Learning
GoogleJobsCloseBy Editorial Insights
Google is hiring a Photonic Engineer, Machine Learning in Sunnyvale, CA for a full time onsite role. The position expects a bachelor’s degree in Electrical or Computer Engineering, Physics or related field with at least 6 years in a high speed datacom environment and 5 years in digital coherent optical transmissions; a PhD and experience with automation, DSP, and system modeling are preferred. You’ll design low cost, high speed optical transceivers for data centers and develop optical systems to scale TPU and GPU superpods, while researching new photonic networking technologies and disaggregation approaches to boost efficiency. To apply, tailor your resume to show end to end delivery from concept through manufacturing, quantify impact, highlight lab and field automation work, and demonstrate collaboration with ML and data center teams.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 6 years of experience working in a high-speed datacom technical environment.
- 5 years of experience in digital coherent optical transmissions.
Preferred qualifications:
- PhD in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- Experience with script writing and test and measurement system automation.
- Proficiency in digital signal processing, high-speed optoelectronic circuit simulation or system modeling.
- Knowledge of large volume high-speed optical transceiver designs and manufacturing.
- Knowledge of data center network and machine learning system architectures.
About the job
Our Platforms Infrastructure Engineering team designs and builds the
hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users.
US: $188000 - $275000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design low-cost and high-speed optical transceivers for data center applications.
- Develop optical systems and architectures to scale TPU and GPU superpods.
- Identify, research, evaluate emerging photonic networking technologies.
- Explore optical technologies to disaggregate and improve the efficiencies of future computing systems.