Automation and Robotics Manufacturing Test Engineer
Job Summary
Job Description
- Bachelor's degree or equivalent experience
- 3+ years designing & testing multiple subsystems
- 3+ years experience with industrial electrical control systems
- Knowledge of regional industrial and safety standards
- Support engineers in process improvement
- 3 years of product development experience
- Experience with MSA and Gage R&R studies
- bonus
- equity
- benefits
2 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 3 years of experience designing and testing multiple subsystems and systems (e.g., software, robotics algorithms, electrical systems, mechanical systems, control systems).
- 3 years of experience with industrial electrical control system components and system design, and regional industrial and safety standards (e.g. ISO, NFPA, RIA, ANSI, ETC).
Preferred qualifications:
- 3 years of experience with the process of developing products, including identifying issues and considerations for delivering a product.
- Experience designing and testing multiple subsystems and systems (e.g. software, robotics algorithms, electrical systems, mechanical systems, control systems).
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Our team is a rapid iteration group focused on defining and stewarding automation standards for Google, designing, building, and deploying the right amount of automation capability for our partner teams, and providing engineering experience and leadership when developing future roadmaps toward optimal use of automation throughout the manufacturing, supply chain, and data center facilities that support Google as it scales the fleet.
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 $105,000-$151,000 + 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
- Support the review of supplier documentation and participate in design reviews as needed.
- Support engineers in process improvement initiatives.
- Drive vendor quality initiatives.
- Assist in performing basic measurement system analysis (MSA) and Gage Roles and Responsibilities studies under supervision.
- Create and maintain detailed documentation, including standard operating procedures (SOPs) and work instructions.
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