Photonic Engineer, Machine Learning Systems, Platforms

Job description

Minimum qualifications: - PhD degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience. - 2 years of experience working in a high-speed datacom technical environment. Preferred qualifications: - Experience with script writing and test and measurement system automation. - Knowledge of large volume high-speed optical transceiver designs and manufacturing. - Knowledge of data center network and machine learning system architectures. - Proficiency in digital signal processing, high-speed optoelectronic circuit simulation or system modeling. About the job: Google’s machine learning systems use the latest and greatest optical transceiver and optical switching technologies to interconnect TPU and GPU processors. As a Photonic Engineer for Machine Learning Systems, you will be responsible for creating next generation optical interconnect technologies for TPU systems. You will work with both the optics team and machine learning team to lay out the optical technology road maps to expand future generation machine learning systems. Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies...