Optical Test and Automation Engineer, Platforms
Job Summary
Job Description
- Bachelor's degree in relevant field
- 2 years hardware lab experience or 1 year with advanced degree
- 2 years experience in wafer-level or chip-level probe testing or optical lab automation
- 1 year experience in optical transceivers and testing
- Python/MATLAB/LabVIEW scripting
- Lead test development and execution
- Troubleshooting and root cause analysis
- Master's or PhD in relevant field
- Linux/Unix experience
- Experience with lab test and measurement instrumentation
- Data center optical transceiver standards experience
- Experience with lab test automation frameworks
- Understanding of computer and networking systems
6 skills required
Job Details
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
- 2 years of experience working in a hardware lab environment, or 1 year of experience with an advanced degree.
- 2 years of experience working on wafer-level or chip-level probe testing or optical lab automation and scripting (e.g., Python, MATLAB, or LabVIEW).
- 1 year of experience in optical transceivers and testing.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
- Experience with Linux/Unix.
- Experience with lab test and measurement instrumentation (e.g., fiber optic active and passive devices), and with fiber optics components handling and cleaning.
- Experience with data center optical transceiver standards.
- Experience with lab test automation frameworks.
- Understanding of computer and networking systems such as physical, functional, logical, mechanical, optics, electrical, software, thermal, etc.
About the job
As an Optics Hardware Test Engineer you will play a key role in the development of Google Cloud network infrastructures. You will be asked to perform testing/validation of novel and complex configurations of networking hardware, and collaborate closely with Hardware and Software teams to configure lab networks and test infrastructure that evaluate and characterize the performance of cloud computing and networking products. You will be the keeper of the lab, responsible for the day-to-day operations with pride in cleanliness, organization, and safety which plays a key role in the rapid development and support of Google’s data center technologies.
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. Learn more about .
Responsibilities
- Lead test development for new and existing optical product designs. Create and execute comprehensive test plans, ensure full coverage and quality adherence.
- Develop and automate optical test instrumentation using Python and vendor Application programming interface (APIs) optimizing data acquisition and scripting.
- Operate wafer probe stations, conduct high-frequency measurements, and analyze wafer data for product validation.
- Develop automated test scripts, debug hardware/software issues for switch/router/transport platforms. Analyze, troubleshoot, and root cause field failures of optical transceiver modules. Drive issues to closure with the design team to implement preventive measures.
- Install, test, repair, and validate new and existing hardware and fiber connections. Maintain lab infrastructure, manage equipment, and troubleshoot field failures, ensuring a functional Research and Development environment.
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