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Senior Manufacturing Engineer

Intuitive

Sunnyvale, CA, United States · senior
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Sunnyvale, CA, United States
Location
Senior
Seniority
Intuitive
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Ai Engineer jobs
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Company Description It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies—like the da Vinci surgical system and Ion —have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare , you’ll find your purpose here. Job Description Primary Function of Position As a member of the service manufacturing engineering team, you will work in a dynamic, fast-paced, and challenging environment. You will be responsible for supporting the production of Da Vinci Surgical Robotic systems by applying your knowledge of system engineering including electromechanical assemblies and software to perform failure analysis, repair, and test of our systems.

Your goal will be to improve customer experience through improvements in reliability, manufacturing yield, and design improvements of these surgical systems. Essential Job Duties  This position is a dynamic technical systems focused role that requires strong communication, problem solving, cross functional teamwork and ability to present and drive continuous improvement to processes, products, and systems.  Your primary responsibilities will include: Create, maintain, and improve manufacturing processes and methods to perform failure analysis of returned parts, identifying root causes of failed products.

Performing failure analysis on PCBAs, electromechanical assemblies, and related components utilizing design documentation, manufacturing test data, software tools, and a variety of lab / bench equipment. Identifying emerging failure trends through structured problem solving (DMAIC, 8D, Fishbone, 5 Why), data analysis, manufacturing data, yields, and statistical process control Creating and leading data driven cross-functional engineering team meetings to address manufacturing issues.

Prevents issue reoccurrence by successfully driving continuous improvement learnings from root cause analysis within engineering and manufacturing environments. Establish and perform IQ/OQ/PQ on equipment and fixtures. As well as execute validations on Manufacturing lines (PPQ). Provide production line support for day-to-day engineering issues and advanced failure analysis support Identify and implement continuous improvement projects with respect to customer experience including failure modes, repeated issues, problem not reproduced issues.

Qualifications Required Skills and Experience Strong troubleshooting mind set - an ability to methodically break down a system or process into subparts to identify failures and troubleshoot to a component level. Familiarity with 8D problem solving, Fishbone Diagraming, and the 5 Whys. Minimum 5 years experience as design or manufacturing engineer supporting product with significant electromechanical content.

Sense of curiosity and a willingness to always dig deeper. Ability to read electronic and mechanical schematics, assembly, and fabrication drawings.  Execute testing and data collection using Linux, Matlab, and other software toolsets. Strong skills in problem solving and using Minitab/JMP, Python, SQL, Tableau and/or other SW tools for data analysis to identify root cause and drive corrective actions.

Required Education and Training BS degree in Electrical Engineering, Computer Engineering/S

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