Photonic Engineer, Machine Learning Systems, Platforms
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Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 2 years of experience working in a data center technical environment, or 1 year of experience with an advanced degree.
- Experience in digital coherent optical transmission systems and fiber optical components and packaging techniques.
- Experience with high-speed optical transceiver designs and manufacturing.
- Experience with high speed electronics and signal integrity.
Preferred qualifications:
- PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
- Experience with TPU/GPU superpod systems.
- Experience with script writing and test and measurement system automation.
- Experience with data center network architectures.
About the job
The Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. Google’s machine learning systems use the latest and greatest optical transceiver and optical switching technologies to scale and interconnect TPU and Graphics Processing Unit (GPU) processors.
As a photonic engineer for machine learning systems, you are 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 roadmaps to scale future generation machine learning systems.The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Responsibilities
- Design low-cost and high-speed optical transceivers for data center applications.
- Design optical systems 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.
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