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Ramona logoRamona

Computational Imaging Engineer

Durham, North Carolina, United States · On-site

Mid level$35M raised

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. Delivering on that promise means treating calibr…

Skills: Computational Imaging, Optical Systems Modeling, Computer Vision, Image Deconvolution, Python

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Computational Imaging Engineer

Ramona

Durham, North Carolina, United States • On-site

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Mid level

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  • Full-time
  • bachelor degree, postgraduate degree
  • Posted 27d ago
  • ~40 hrs/week

Responsibilities

Develop mathematically grounded calibration procedures and models to correct optical deformations and noise in multi-axis imaging instruments. Collaborate with cross-functional teams to translate optical models into production-ready software for the imaging platform.

Requirements

Requires a degree in Optical Engineering, Physics, or Electrical Engineering with at least 2 years of experience in image formation and signal processing. Proficiency in Python and hands-on experience with image deconvolution and optical calibration are essential.

Full job description

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. Delivering on that promise means treating calibration not as a one-time setup step, but as a rigorous, systematic, and continuously verifiable part of the system itself — one that can scale to support a growing and increasingly diverse list of sample types and use cases.

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 properties of the material a user places under the microscope, and can we assume those properties are constant? How do motion-system accuracy and vibration propagate into image blur? How do we separate signal from sensor noise, background, and illumination non-uniformity in a way that holds up across magnifications and sample types?

This is a role for someone who enjoys grounding computer vision and image processing work in the underlying physics and mathematics of the imaging system, and who wants to build the calibration infrastructure that makes our instruments reliable, reproducible, and capable of growing with the science.

Key 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.
  • Model and correct optical and geometric image deformations introduced by the imaging system.
  • 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.
  • Characterize fluorescence imaging performance — including excitation/emission behavior, photobleaching, spectral crosstalk, and signal-to-background ratio — across magnifications and sample types, as a critical input to system calibration.
  • Investigate the optical properties of diverse sample materials and assess their variability, building this understanding into the system's calibration and analysis pipelines.
  • Translate optical systems models and computer vision techniques into robust, production-ready software that integrates with the broader imaging platform.
  • 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.
  • Evaluate and adopt emerging techniques in computational imaging, optical systems modeling, and computer vision to improve calibration accuracy and scalability.

Qualifications

Required:

  • Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related field (or equivalent experience).
  • 2+ years of experience.
  • Strong foundation in the mathematics and physics underlying image formation, including Fourier optics, signal processing, and linear algebra.
  • 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.
  • Strong problem-solving skills, attention to detail, and scientific curiosity.
  • Ability to communicate clearly and collaborate across disciplines spanning optics, mechatronics, and software.
  • Experience with computer vision techniques relevant to image registration, restoration, or quantitative analysis.

Preferred:

  • 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.

Related keywords

Computational ImagingFourier OpticsSignal ProcessingLinear AlgebraImage DeconvolutionOptical CalibrationMicroscopyPythonMechatronicsImage BlurSensor NoiseNumerical ApertureFluorescence ImagingPhotobleachingSpectral CrosstalkImage Registration

About Ramona

LinkedInVisit site

Ramona empowers discovery with massively parallel microscopy.

Industry
Biotechnology Research
Company size
11-50 employees
Founded
2017
Headquarters
Durham, North Carolina
LinkedIn followers
3,870
Total funding
$35M

Ramona is the microscopy toolset for cutting-edge biological scientists. We unlock a new perspective on cellular-level research. Our advanced computational microscope expands field-of-view without sacrificing resolution. For the first time ever, research teams can capture dynamic biological systems synchronously, as they move across space and time. Please find the latest news about Ramona Optics at https://medium.com/ramonaoptics Videos that showcase data and results from our new multi-camera array microscope (MCAM) products are at https://www.youtube.com/@ramonaoptics

Offices: Durham, North Carolina 27701, US · San Francisco, CA 94117, US · 1000 W Main St, Suite 2A, Durham, North Carolina 27701, US

SoftwareHardwareLife ScienceBiotechnologyMachine Learning
View all jobs at Ramona

About Ramona

LinkedInVisit site

Ramona empowers discovery with massively parallel microscopy.

Industry
Biotechnology Research
Company size
11-50 employees
Founded
2017
Headquarters
Durham, North Carolina
LinkedIn followers
3,870
Total funding
$35M

Ramona is the microscopy toolset for cutting-edge biological scientists. We unlock a new perspective on cellular-level research. Our advanced computational microscope expands field-of-view without sacrificing resolution. For the first time ever, research teams can capture dynamic biological systems synchronously, as they move across space and time. Please find the latest news about Ramona Optics at https://medium.com/ramonaoptics Videos that showcase data and results from our new multi-camera array microscope (MCAM) products are at https://www.youtube.com/@ramonaoptics

Offices: Durham, North Carolina 27701, US · San Francisco, CA 94117, US · 1000 W Main St, Suite 2A, Durham, North Carolina 27701, US

SoftwareHardwareLife ScienceBiotechnologyMachine Learning
View all jobs at Ramona

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