As a Photonic Engineer for machine learning systems, you will be responsible for creating next generation optical interconnect technologies for Tensor Processing Unit (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.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.
The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or 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 Tensor Processing Unit (TPU) and Graphics Processing Unit (GPU) superpods.
- Identify, research, and evaluate emerging photonic networking technologies.
- Explore optical technologies to disaggregate and improve the efficiencies of future computing systems.
Qualifications
Minimum qualifications:
- PhD degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 4 years of experience working in a high-speed datacom technical environment.
- Experience in digital coherent optical transmissions.
Preferred qualifications:
- 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.