Photonic Engineer, Machine Learning Systems, Platforms, PhD, University Graduate

Google; Sunnyvale (CA); On-site; USD 126,000 - 181,000; Full time

Job summary

An established industry player is seeking a Photonic Engineer to innovate optical interconnect technologies for machine learning systems. In this pivotal role, you will collaborate with cross-functional teams to design high-speed optical transceivers and explore cutting-edge photonic technologies. This opportunity offers you the chance to shape the future of hyperscale computing while contributing to the development of advanced machine learning systems. Join a dynamic team dedicated to pushing the boundaries of technology and making a global impact through innovative solutions.

Qualifications

• PhD in a relevant field or equivalent practical experience required.
• Experience in digital coherent optical systems and high-speed electronics is essential.

Responsibilities

• Design low-cost, high-speed optical transceivers for data centers.
• Research and evaluate emerging photonic networking technologies.

Skills

Digital coherent optical transmission systems

High-speed optical transceiver designs

Signal integrity

Script writing

Test and measurement system automation

Education

PhD in Electrical Engineering

PhD in Computer Engineering

PhD in Physics

Tools

TPU/GPU superpod systems

Data center network architectures

Job description

Minimum qualifications:

1. PhD degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
2. Academic, research, or internship experience in digital coherent optical transmission systems and fiber optical components and packaging techniques.
3. Experience with high-speed optical transceiver designs and manufacturing, high-speed electronics, and signal integrity in an industry, internship, or graduate lab setting.

Preferred qualifications:

1. Experience working in a data center or hyperscale technical environment.
2. Experience with TPU/GPU superpod systems.
3. Experience with script writing and test and measurement system automation.
4. Experience with data center network architectures.
5. Understanding of signal integrity, especially for high-speed interfaces, and best practices to collect accurate SI data.

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 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 roadmaps to scale future generation machine learning systems.

The ML, Systems & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $126,000-$181,000 + 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.

Responsibilities:

1. Design low-cost and high-speed optical transceivers for data center applications.
2. Design optical systems to scale TPU and GPU superpods.
3. Identify, research, and evaluate emerging photonic networking technologies.
4. Explore optical technologies to disaggregate and improve the efficiencies of future computing systems.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.