Staff Image Quality Engineer

ZEISS•Dublin, CA

3d•Onsite

About The Position

This job role is responsible for supporting quality assurance efforts across business operations to ensure adherence to standards and enhance overall performance. They conduct quality assessments, analyze process efficiencies, and implement best practices to identify and resolve quality issues. They collaborate with cross-functional teams to support quality excellence, foster a culture of quality awareness, and align quality initiatives with organizational goals.

Requirements

Master’s degree in Engineering, Physics, or Computer Sciences, with 10 years of experience, or Ph.D. with 5 years of relevant experience.
Degree and experience should be within field of X-ray, CT, microscopy, or medical imaging.
Understands a wide range of Internal and 3rd party reconstruction, image processing, and 3D visualization software
Experience with X-ray or CT technology required.
Demonstrated ability to generate and maintain engineering documentation in high levels of technical detail desired.

Responsibilities

Define and own system level IQ metrics and acceptance criteria (e.g., resolution/MTF , contrast, uniformity, artifact levels , reconstruction time/throughput , and defect detectability for representative samples).
Design and execute repeatable IQ test protocols and golden sample workflows for engineering builds, production release, and sustaining; publish dashboards and control charts.
Build analysis pipelines (Python/Matlab) to compute MTF , SNR/CNR, and other modality appropriate figures of merit.
Develop/evaluate calibration (e.g., gain/offset/dark current, reference correction, geometric calibration, ring reduction), preprocessing (beam hardening correction, scatter mitigation), and reconstruction (FBP; iterative/SART/SIRT/TV/CS; artifact suppression) methods; partner with software teams to productize.
Prototype algorithms on representative datasets; create validation plans and datasets; quantify improvements vs. baselines.
Contribute to scan optimization playbooks (exposure, energy filtration, geometric magnification, trajectories, limited angle strategies) for target use cases.
Serve as the IQ lead for NPI programs: define IQ requirements, author verification/validation plans, analyze results, and drive derisking experiments at key gates.
Lead root cause investigations for field and production IQ issues (e.g., beam hardening, cone angle / limited angle artifacts , photon starvation, motion, detector nonuniformity), define corrective actions, and close the loop with production and service.
Provide tier3 support for image quality escalations and coordinate multidisciplinary 8D investigations as needed.
Create and deliver training on CT theory and practical scanning for engineers and applications specialists; mentor peers in artifact recognition and mitigation .
Define best practices and SOPs for IQ checks in manufacturing and service; partner with QA/ME to embed checks into line/test stations.
Author and maintain protocols, work instructions, calibration procedures , and release notes ; ensure traceability from requirements to verification results.
Support risk analysis (e.g., FMEA ) and contribute to design history and change control (ECR/ECO) packages.
Adhere to radiation safety, lab safety, and applicable regulatory standards.