Manufacturing Test Engineer, Rack Integration
Mexico
Minimum qualifications:
- Bachelor's degree in Computer Engineering or equivalent practical experience.
- 5 years of experience overseeing yield improvements and cycle time reductions for high volume and high complexity parts.
- 5 years of experience in manufacturing.
- Experience in embedded software or test automation with Python.
Preferred qualifications:
- Experience with developing manufacturing test hardware using electronics, fixturing, and instrumentation.
- Understanding of networking fundamentals in PCIe, Ethernet, and TCP/IP.
- Ability to generate product-specific test plans and execute testing.
About the job
Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
- Lead manufacturing test development for new and existing hardware designs to support Compute and Storage, Networking, and Machine Learning Data Center products.
- Write test plans, and drive test coverage based on product requirements.
- Develop automated test software for functional test. Conduct code reviews and debug test failures.
- Analyze, troubleshoot, and root cause manufacturing yield issues and field escapes. Drive issues to closure with preventive measures, and document debug process and findings.
- Identify Design for Testing (DFT) opportunities, document, and collaborate with design engineering hardware/software for implementation prior to manufacturing builds.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Engineering Machine Learning Python Testing
Perks/benefits: Career development
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