Agilent Technologies
Robotics & Automation Engineer, Manufacturing
US-CA-Carpinteria · Senior · Full-time
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About the role
- We provide life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, applications and expertise.
- Agilent enables customers to gain the answers and insights they seek
- so they can do what they do best: improve the world around us.
Responsibilities
- Provide hands-on engineering support, trouble-shooting and maintenance of robotic and automated HMLV production floor equipment in a regulated environment.
- Define, procure and support robotic and automated filling, labeling and packaging equipment (SOW, Functional Spec., FAT, SAT)
- Apply Project Management skills and tools to lead and support capital equipment and improvement projects.
- Resolve equipment failures with a focus on root cause(s). Lead and assist with defining and implementing corrective and preventive actions, and resolution to audit findings.
- Prepare, complete and support validations (IQ/OQ/PQ) to meet applicable FDA and regulatory requirements.
- In this visible and diverse role, you will provide hands-on production equipment support, troubleshooting, repairing and maintaining essential robotics and automation machinery.
- You will manage capital equipment and improvement projects, as well as work closely with vendors and contractors.
- You will also partner with QA on preparing and approving validation and other documents and procedures essential for regulatory compliance.
Requirements
- Required Knowledge, Skills & Abilities
- Prior experience with process/equipment validation: writing documentation and execution - IQ, OQ, PQ
- Demonstrated ability to work in a regulated environment
- Knowledge of FDA QSR requirements, ISO 13485, or other recognized international quality system standards
- Prior experience in working with and/or managing suppliers and/or subcontractors
- Experience with DI water systems, cold room management, central monitoring systems
- Experience with FMEA, DOE, SPC
- Experience with SAP, Agile, and Electronic Batch Records
- Knowledge of Industry 4.0, AI, predictive analytics and touchless transactions
- Bachelor's Degree in Mechanical, Electrical, Robotics, Automation, or other relevant Engineering & Technology disciplines with 5+ years of experience, or equivalent combination of education and experience.
- Prior hands-on working experience with Robotics & Automation, PLCs, HMIs, Vision Systems, Servos, and Labelers
- Prior experience maintaining robotic & automated equipment
- Strong technical, project management and documentation skills
- Self-starter, highly organized, complex problem solver with technical, detail-oriented mindset and strong analytical and communication skills
- CAD, SolidWorks experience
Nice to have
- Preferred Knowledge, Skills & Abilities
Compensation
- The full-time equivalent pay range for this position is $110,424.00 - $172,538.00/yr plus eligibility for bonus, stock and benefits.
Benefits
- Prior hands-on experience with programming Fanuc and Denso robots, Omron and Allen Bradly PLC, HMIs, Cognex Vision Systems, Zebra, Sato and DataMax Labelers
Company info
- Agilent enables customers to gain the answers and insights they seek so they can do what they do best: improve the world around us.
- Be a part of the future of Precision Medicine!
- Reporting to the Engineering Manager, you will be an integral part of a cross-functional team of engineers and technicians growing in size and responsibilities as the business needs increase.
- Be a part of the future of Precision Medicine! Our mission is to improve the human condition by bringing the power of precision medicine to labs, partners and patients globally.
- Our mission is to improve the human condition by bringing the power of precision medicine to labs, partners and patients globally.
- Become a part of a growing and dedicated engineering team that does essential work in support of Finished Production.
This listing is sourced directly from Agilent Technologies's careers page and normalized into a canonical job model.