Ramona
Computational Imaging Engineer
Durham, NC
Sponsorship not specifiedDetected 20 days ago
PythonAlgorithmsComputer VisionElectrical EngineeringSignal ProcessingMicroscopyCollaborationProblem Solving
About the role
- Our MCAM™ platform moves across 9 axes of motion and 5 distinct magnifications, and our users expect the same image quality at NA=0.05 as they do at NA=0.3.
- We are looking for a Computational Imaging Engineer to help us close the gap between the physics of image formation and the images our instruments actually produce.
- You will work at the intersection of optics, mechatronics, computer vision, and optical systems modeling, tackling questions like: what are the optical of the material a user places under the microscope, and can we assume those are constant?
Responsibilities
- Develop rigorous, systematic, and mathematically grounded calibration procedures for multi-axis, multi-magnification optical instruments.
- Characterize sensor and image noise sources and build models to quantify and correct for them.
- Design and implement high-performance deconvolution algorithms to recover image detail across a range of numerical apertures.
- Develop methods for background estimation, source characterization, and background subtraction in microscopy images.
- Characterize how motion-system accuracy and mechanical vibration affect image formation, and develop approaches to mitigate their impact.
- Characterize illumination sources and their contribution to image quality, and develop correction strategies.
- Investigate the optical of diverse sample materials and assess their variability, building this understanding into the system's calibration and analysis pipelines.
- Collaborate closely with optics, mechatronics, and software engineers to validate calibration approaches against real instrument behavior.
- Document calibration methodologies, models, and validation procedures for internal and external use.
- Our team is guided by curiosity, technical rigor, accountability, collaboration, and a drive to build transformative solutions.
Requirements
- Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related field (or equivalent experience).
- 2+ years of experience.
- Hands-on experience with image deconvolution, deblurring, or related inverse-problem techniques.
- Experience characterizing noise, background, or illumination effects in optical or imaging systems.
- Experience with geometric or optical calibration of imaging or measurement systems.
- Strong proficiency in Python (or similar) for scientific computing and image processing.
- Familiarity with how mechanical accuracy, vibration, or motion-system behavior affects image quality.
Nice to have
- Master's or Ph.D. degree in Optics, Physics, or a closely related field.
- 5+ years of experience.
- Experience with optical systems modeling or simulation tools.
- Experience working on multi-axis or multi-magnification imaging instruments.
- Preferred: Master's or Ph.D. degree in Optics, Physics, or a closely related field.
Benefits
- We are building tools that expand what scientists can see, measure, and understand - advancing human health through computational microscopy.
This listing is sourced directly from Ramona's careers page and normalized into a canonical job model.