Senior ATE Test Infrastructure Engineer, Google Cloud
Sunnyvale, CA, USA · Senior
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About the role
- About the job In this role, you'll work to shape the future of AI/ML hardware acceleration.
Responsibilities
- Collaborate with Architecture, Design, and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies, as well as manufacturing test solutions for new high performance computing (HPC) products in advanced process technologies.
- Verify test solutions on pre-silicon models (simulation or emulation) and develop ATE test modules, DC tests, binning, production, and characterization flows.
- Develop and validate test programs on automated test equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
- Build tools, flows, and methodologies to continuously improve and automate the testing life-cycle.
- Partner with upstream and downstream teams to enable automated solutions to test problems.
Requirements
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience in test engineering.
- Experience scripting in Python or Java
- Experience with ATE test platforms such as Advantest 93K, Teradyne UltraFlex SOC test system.
Nice to have
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience in pre-silicon validation, test content generation, ATE program development, and post-silicon enabling from new product introduction through high volume manufacturing.
- Experience in creating end-to-end manufacturing test strategies for printed circuit board assembly (PCBA) and systems that cover structural through functional and system tests.
- Experience in C# or C/C++.
- In this role, you'll work to shape the future of AI/ML hardware acceleration.
- The AI and Infrastructure team is redefining what's possible.
Skills
- Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Compensation
- $163k-$236k
Company info
- We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
- Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
This listing is sourced directly from Google's careers page and normalized into a canonical job model.