Manufacturing Automation Engineer I

Agilent Technologies, Inc.-posted about 1 month ago
Full-time • Entry Level
Carpinteria, CA
5,001-10,000 employees
Professional, Scientific, and Technical Services
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We are seeking a motivated entry-level Manufacturing Automation Engineer to join our Medical Device Manufacturing Engineering Team. This role offers the opportunity to develop hands-on experience in automation, data analytics, and AI-enabled process improvement within a regulated ISO 13485 environment. The ideal candidate is a recent engineering graduate who enjoys solving problems, streamlining workflows, and learning how to use AI and automation tools to make manufacturing smarter, faster, and more compliant.

  • Learn and apply automation tools (e.g., Power Automate, Python, or Azure AI) to replace manual, repetitive tasks.
  • Develop scripts or low-code solutions for: Automated calibration certificate review and routing Smart scheduling for calibration and preventive maintenance Database checks that flag missing or inconsistent data
  • Support the Manufacturing Engineering Manager in documenting, validating, and deploying new digital tools under ISO 13485 guidelines.
  • Maintain and analyze data from equipment, calibration, and quality databases (e.g., Excel, Power BI, or SQL).
  • Identify trends, anomalies, or potential data errors that affect manufacturing or quality decisions.
  • Assist in preparing dashboards, reports, and KPIs for the engineering and quality teams.
  • Work with experienced engineers to connect equipment, sensors, and databases in preparation for a future MES (Manufacturing Execution System).
  • Learn how systems such as SAP, calibration databases, and quality systems exchange data.
  • Participate in small automation pilot projects integrating AI tools or equipment communication.
  • Participate in Lean/Continuous Improvement (CI) activities to identify opportunities for digital transformation.
  • Collaborate with cross-functional groups - Manufacturing, Quality, Maintenance, and IT - to understand workflow pain points and propose simple automation ideas.
  • Support equipment documentation, SOP updates, and change-control packages for new tools or processes.
  • Bachelor's degree in Manufacturing, Mechanical, Electrical, Industrial, or Mechatronics Engineering, Computer Engineering, or related field
  • Basic understanding of automation or scripting tools (e.g., Power Automate, Python, MATLAB, VBA, or similar).
  • Familiarity with Excel data analysis and Power BI dashboards.
  • General knowledge of database structures (SQL) and data quality principles.
  • Interest in learning about AI document processing and machine-to-system communication (OPC UA, API, etc.).
  • Understanding (or willingness to learn) of ISO 13485, GMP, and 21 CFR Part 11 compliance requirements.
  • eligibility for bonus, stock and benefits
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