Engineer II, Systems Design at Thermo Fisher Scientific in Hillsboro, Oregon

Job Description:

Work Schedule

Standard (Mon-Fri)



Environmental Conditions

Office, Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.)



Job Description



At Thermo Fisher Scientific, you'll do meaningful work on a team that values performance, quality and innovation. As part of a successful, growing global organization you will be encouraged to perform at your best. With revenues of more than $40 billion and the largest investment in R&D in the industry, we give our people the resources and opportunities to make meaningful contributions to make the world healthier, cleaner and safer.


DualBeam SEM/FIB systems are some of the most sophisticated instruments in the world today. Systems Design Engineering is at the heart of realizing and pushing the performance of these microscopes. Our technologies are used by scientists and engineers to drive innovation around the globe. Our products have been instrumental in Nobel prize winning discoveries, have been highlighted by National Geographic, and were awarded Gold at the Edison awards. You will join a growing team committed to teamwork, continuous improvement, and development of you as a person.



Responsibilities:

• Lead the development of highly customized, automated, multi-million dollar electron microscopy solutions by working closely with, and learning from, world class Marketing, Project Management, Operations, and engineers and scientists with diverse backgrounds.


• Requirements management, system design, complex system analysis, performance modelling and characterization, integration, and validation.

• Bachelor's Degree in Physics, Controls, Mechanical, Systems, or Electrical Engineering.


• 2+ years of proven experience developing relevant, complex instruments. Advanced degrees highly desired and may substitute for experience.


• Strong combination of analytical skills and hands on characterization using statistical methods.


• Proven proficiency in some of the following areas: nanotechnology, system and process characterization and matching, high voltage, electronics, electron microscopes, ion beam systems, machine learning (ML) & artificial intelligence (AI), semiconductor capital equipment and processes, automation, Python, metrology, motion & mechatronics, vibration & acoustics, vacuum systems, model based systems engineering (MBSE), design for six sigma (DfSS).