IMAGE PROCESSING ENGINEER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: Aug 8, 2025 - The Image Processing Engineer develops and implements advanced image processing solutions, including enhancement, compression, and segmentation, with expertise in digital signal processing and programming languages such as C/C++. This role requires proficiency in design tools and testing methodologies, designing software for diverse platforms, performing debugging, and executing test plans using scripts and tools. The engineer also has strong analytical and problem-solving skills, excellent communication in English and the local language, and mastery of industry-relevant programming practices.

Essential Hard and Soft Skills for a Standout Image Processing Engineer Resume
  • Requirements Analysis
  • Algorithm Development
  • Rapid Prototyping
  • Performance Optimization
  • AI Processing
  • Software Design
  • Machine Learning
  • Real-Time Processing
  • Point Cloud Generation
  • Image Fusion
  • Stakeholder Collaboration
  • Continuous Learning
  • Cross-Functional Development
  • Technical Communication
  • Peer Review
  • Team Collaboration
  • User Experience
  • Cross-Team Collaboration
  • Optics Leadership
  • Vendor Collaboration

Summary of Image Processing Engineer Knowledge and Qualifications on Resume

1. BS in Computer Science with 2 years of Experience

  • Related professional experience, such as image-based defect detection, medical image analysis, etc.
  • Deep knowledge and hands-on experience in image processing and computer vision.
  • Strong in programming and data analysis skills.
  • Proficient in one or more of the following, Matlab/C++/Python/OpenCV.
  • Experience in machine learning and deep learning.
  • Positive outlook, self-motivated, delivers solutions in a timely fashion.
  • Excellent written and interpersonal skills, clear communication.
  • Must have MS/PhD in CS/EE/Imaging Science.

2. BS in Electrical Engineering with 4 years of Experience

  • Relevant experience using modern Image Processing/Computer Vision libraries, i.e., OpenCV, SciKit Image.
  • Experience in one or more of Python/C++/Matlab.
  • Able to detect and track, image enhancement, SLAM/visual navigation.
  • High-Performance GPU experience.
  • Experience in CUDA/OpenCL.
  • Experience in modern scientific libraries, i.e., Numpy, Scipy.
  • Image and/or Signal Processing experience with multi-spectral imagery.
  • Military image processing experience.
  • Cooled, HOT, and Uncooled imagery knowledge.
  • Physics-based synthetic scene modeling, data generation, and image injection into real imagery.
  • UV, Visible, NIR, active/passive SWIR, MWIR, LWIR, and LIDAR processing and phenomenology.
  • Deep learning experience.
  • Experience in modern scientific visualization, i.e., Matplotlib, Networkx, Plotly.
  • Experience with a modern Deep Learning framework, e.g,. Keras/Tensorflow, PyTorch.
  • Experience with a modern Machine Learning library, e.g., SciKit Learn, Tensorflow.

3. BA in Physics with 5 years of Experience

  • Experience in the Artificial Intelligence domain.
  • Experience in devising, prototyping and testing machine learning models.
  • Experience in developing deep learning based solutions in computer vision.
  • Expertise in developing Python applications.
  • Knowledge of Linear Algebra and Machine Learning/DL algorithms.
  • Work experience in using object detection networks, network layer customisation and visualisation of class activation maps, etc.
  • Proven experience in using Deep Learning libraries like PyTorch, TensorFlow, Keras, etc.
  • Understanding research papers in deep learning and computer vision and implementation of the same in the software.
  • Deep knowledge of ML concepts for classification, regression, clustering, etc.
  • Ability to develop robust ML models in Python, MATLAB, R, etc.
  • Knowledge of deep learning (DL) concepts like CNN, FCN, LSTM, etc., and network architectures for object detection, classification and semantic segmentation.
  • Able to develop/understand model/network architecture.
  • Able to implement, customize and fine-tune networks based on published papers shared by the customer.
  • Experience in using PyTorch, Keras/Tensorflow.
  • Work experience in NVIDIA Platforms will be an advantage.

4. BS in Software Engineering with 7 years of Experience

  • Experience and knowledge in image processing and signal processing.
  • Experience developing algorithms in C++ for high-performance computing (HPC) applications.
  • Ability to attain a DoD Secret Clearance.
  • Experience simulating EO/IR imagery using industry common tools (e.g., DIRSIG for scene simulation, MODTRAN for modeling atmospheric effects, etc.).
  • Experience modelling targets of interest within synthetic imagery.
  • Experience developing software solutions to measure image quality in either Python, MATLAB, or  C/C++.
  • Experience teaching software developers and research scientists in the field of EO/IR image processing.
  • Experience communicating effectively with external stakeholders and internal leadership.
  • Experience with the agile software development process.
  • Experience developing and deploying scalable software solutions in operational environments.
  • Experience with any of the following additional languages, including Python, Java, and/or C#.
  • Experience with radiometry and radiometric calibration.
  • Experience with registration and geolocation algorithms.
  • Experience with additional imaging phenomenologies (such as LIDAR and SAR).
  • Experience with image processing and/or computational libraries such as OpenCV, Eigen, Dlib, scikit-image, etc.

5. BA in Applied Mathematics with 3 years of Experience

  • Experience Deep Learning Nanodegree Program (Udacity), Machine Learning (Coursera).
  • Experience in image processing and computer vision techniques.
  • Experience working on Deep Learning.
  • Experience in working with embedded processors.
  • Experience in algorithm development.
  • Hands-on software development experience in computer vision, image processing, computer graphics, or machine learning.
  • Able to perform 3D computer vision, 3D object recognition, or visual recognition/understanding.
  • Programming skills, includingC/C++, Python, Matlab.

6. BS in Mechanical Engineering with 2 years of Experience

  • Experience in working on computer vision applications.
  • Experience in deep learning/machine learning (neural networks).
  • Able to demonstrate programming proficiency in C++ and Python.
  • Solid knowledge of fundamental algorithms and data structures.
  • GPU programming, CUDA, OpenCL, and other machine vision and graphics tools and libraries, OpenCV, and OpenGL.
  • Able to develop a web application.
  • Self-motivated, strong problem analysis and solving skills.
  • Effective verbal and written communication skills in English.

7. BA in Data Science with 4 years of Experience

  • Must be a US citizen and be able to obtain and maintain a Top Secret clearance.
  • Strong understanding of MATLAB and SIMULINK.
  • Familiarity with object-oriented programming.
  • Experience with Linux.
  • Understanding of signal processing for analog and digital systems.
  • Understanding of image processing techniques.
  • Application of the scientific method to complex systems.
  • Ability to define and execute tests, reduce data, and perform statistical analysis.
  • Strong written and verbal communication skills.
  • Leadership, project management, presentation, and collaboration skills.
  • Active DoD Secret or higher clearance.
  • Experience with other programming languages like Python, C/C++, or Java.
  • Experience with EO/IR systems.
  • Experience with infrared focal plane array, including digital/digital pixel focal plane arrays.
  • Experience working in a Research and Development (R&D) environment.

8. BS in Biomedical Engineering with 3 years of Experience

  • Experience in Digital Signal Processing or Image Processing.
  • Working knowledge of image processing. (image enhancement, image compression, image segmentation, etc.).
  • Expertise in multiple software systems, design tools and languages. Strong analytical and problem-solving skills.
  • Able to design software systems running on multiple platform types.
  • Able to use software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools.
  • Excellent written and verbal communication skills.
  • Mastery of English and the local language.
  • Expertise in programming languages.
  • C/C++ or other programming language experience.