Vision Systems, Engineer III

Thermo Fisher Scientific • Logan, UT

1d • Onsite

About The Position

When you’re part of the team at Thermo Fisher Scientific, you’ll do important work, like helping customers in finding cures for cancer, protecting the environment or making sure our food is safe. Your work will have real -world impact, and you’ll be supported in achieving your career goals. How will you make an impact? You will be part of the automation engineering team to develop new manufacturing equipment that supports the global network of Thermo Fisher Scientific SUD manufacturing sites.  You will be responsible for ensuring design quality, safety, and delivery to equipment requirements and standards. What will you do? You will have direct responsibility for specifying and designing new manufacturing equipment as well as improvements to existing designs to improve productivity, capacity, cost reduction, and efficiency. You will be responsible for ensuring the highest levels of quality and efficiency in your work . How will you get here? Education Technical/Engineering Bachelor’s degree with 5 years (or Master’s degree with 3 years) of demonstrated applicable experience including management of direct reports in a technical/engineering environment. Experience Hands-on experience designing, integrating, and validating machine vision systems in automated manufacturing, including inspection for quality, alignment, and particulate detection. Proven success selecting, specifying, and implementing vision hardware and software (e.g., Cognex, Keyence, or equivalent) and integrating with automation and control platforms. Demonstrated experience developing and deploying AI-based vision solutions , from data collection and labeling through model training and validation using tools such as TensorFlow, PyTorch , or OpenCV . Skilled in system integration and real-time performance tuning , including camera calibration, lighting optimization, and inference at the edge or in cloud environments. Strong background in collaborative engineering ; working cross-functionally with mechanical, controls, and process teams to implement robust and compliant vision systems in GMP-regulated environments . Proven ability to lead technical initiatives , manage project deliverables, and apply continuous improvement techniques to enhance inspection reliability, accuracy, and efficiency. Knowledge, Skills, Abilities In-depth understanding of image processing, computer vision, and deep learning principles for object detection, classification, and segmentation. Working knowledge of PLC and robotic integration , as well as closed-loop control with vision systems for automated inspection and process feedback. Proficient in MLOps and data management practices, including version control, monitoring, retraining, and deployment of production vision models. Strong analytical skills with experience using DOE, FMEA, SPC, and Six Sigma methods to validate and continuously improve system performance. Excellent technical communication and documentation skills; proficient in SolidWorks/PDM , MS Office , and authoring protocols, reports, and procedures. Knowledge of Lean Manufacturing, GMP, and ISO 13485 standards; proactive problem-solver with a demonstrated record of technical leadership and results orientation. At Thermo Fisher Scientific, each one of our extraordinary minds has a unique story to tell. Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner and safer. Apply today! http://jobs.thermofisher.com Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

Requirements

• Technical/Engineering Bachelor’s degree with 5 years (or Master’s degree with 3 years) of demonstrated applicable experience including management of direct reports in a technical/engineering environment.
• Hands-on experience designing, integrating, and validating machine vision systems in automated manufacturing, including inspection for quality, alignment, and particulate detection.
• Proven success selecting, specifying, and implementing vision hardware and software (e.g., Cognex, Keyence, or equivalent) and integrating with automation and control platforms.
• Demonstrated experience developing and deploying AI-based vision solutions , from data collection and labeling through model training and validation using tools such as TensorFlow, PyTorch , or OpenCV .
• Skilled in system integration and real-time performance tuning , including camera calibration, lighting optimization, and inference at the edge or in cloud environments.
• Strong background in collaborative engineering ; working cross-functionally with mechanical, controls, and process teams to implement robust and compliant vision systems in GMP-regulated environments .
• Proven ability to lead technical initiatives , manage project deliverables, and apply continuous improvement techniques to enhance inspection reliability, accuracy, and efficiency.
• In-depth understanding of image processing, computer vision, and deep learning principles for object detection, classification, and segmentation.
• Working knowledge of PLC and robotic integration , as well as closed-loop control with vision systems for automated inspection and process feedback.
• Proficient in MLOps and data management practices, including version control, monitoring, retraining, and deployment of production vision models.
• Strong analytical skills with experience using DOE, FMEA, SPC, and Six Sigma methods to validate and continuously improve system performance.
• Excellent technical communication and documentation skills; proficient in SolidWorks/PDM , MS Office , and authoring protocols, reports, and procedures.
• Knowledge of Lean Manufacturing, GMP, and ISO 13485 standards; proactive problem-solver with a demonstrated record of technical leadership and results orientation.

Responsibilities

• specifying and designing new manufacturing equipment
• improvements to existing designs to improve productivity, capacity, cost reduction, and efficiency
• ensuring the highest levels of quality and efficiency in your work

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees