Jobs in Secaucus, NJ

About the role

The Principal Quality Engineer will lead the development of data-driven quality systems, using SPC, measurement analysis, and advanced analytics to proactively identify risks, control variation, and improve reliability across production lines. They will partner across design, operations, suppliers, and new product introduction teams to embed smart factory methods—including predictive quality, automation, and digital traceability—ensuring seamless customer experiences and robust performance in next-generation manufacturing environments.

What you'll bring

• The right person for this role is an agent of change and has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a good communicator, and is passionate about enabling the future of cloud computing.
• Advanced degree in Engineering, Computer Science, Data Science, or a related field.
• 10–15 years of experience in high-volume, high-complexity manufacturing, with at least 5 years in leadership or transformation roles (not necessarily people management).
• Demonstrated expertise in statistical and analytical methods such as regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies.
• Proficiency with data-driven tools such as Minitab, JMP, Python, R, SQL (or equivalent) to analyze and interpret large, complex datasets.
• Track record of driving measurable improvements in yield, reliability, or process robustness.
• Excellent communication skills with the ability to engage at both executive and technical levels.
• Background in electronics assembly, PCBA, servers, or other high-reliability industries (e.g., aerospace, medical devices, automotive, etc.).
• Experience coaching or mentoring technical teams to upskill in data-driven decision-making.
• Proficiency in CAD tools (SolidWorks, AutoCAD) and industrial automation platforms (Siemens, Allen-Bradley, etc.).
• Experience with PLC programming, robotic integration (e.g., 6-axis arms, gantry systems), and industrial sensors.
• Familiarity with MES systems, Python, or SQL for automation control.

Benefits