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Image Processing Engineer

Mountain View, CA · On-site

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a ... Optimize image quality across the hardware and software stack, ensuring hardware capabilities are ...

InterImage

InterImage currently has a need for an Image Processing SME Experience Required ... Experience analyzing and developing algorithms to correct scientific image data containing ...

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How much do image processing scientist jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for image processing scientist in the United States is $48.63, according to ZipRecruiter salary data. Most workers in this role earn between $27.64 and $65.87 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Image Processing Scientist position, and why are they important?

To thrive as an Image Processing Scientist, you need a solid background in mathematics, computer vision, machine learning, and programming, typically supported by an advanced degree in a related field. Familiarity with technical tools like Python, MATLAB, OpenCV, and deep learning frameworks, as well as relevant certifications, is highly valued. Strong analytical thinking, problem-solving skills, and effective communication are important soft skills for this role. These skills are essential to develop novel solutions, collaborate with multidisciplinary teams, and translate complex data into impactful visual insights.

What are the main challenges faced by Image Processing Scientists in their daily work?

Image Processing Scientists often encounter challenges such as working with large, complex datasets, optimizing algorithms for speed and accuracy, and adapting solutions to different hardware environments. Staying updated with rapidly evolving research and technologies in machine learning and computer vision can also be demanding. The role usually involves balancing independent research with collaboration across data science, engineering, and product teams. Overcoming these challenges helps scientists deliver robust, scalable solutions that meet real-world application needs.

What does an Image Processing Scientist do?

An Image Processing Scientist develops and applies algorithms to analyze, enhance, and manipulate digital images. They work with techniques such as filtering, pattern recognition, and machine learning to extract meaningful information from images. Their role is crucial in industries like medical imaging, autonomous systems, remote sensing, and computer vision. They often collaborate with software engineers and researchers to implement and optimize image processing solutions.

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What are the most commonly searched types of Image Processing Scientist jobs? The most popular types of Image Processing Scientist jobs are:
What states have the most Image Processing Scientist jobs? States with the most job openings for Image Processing Scientist jobs include:
What job categories do people searching Image Processing Scientist jobs look for? The top searched job categories for Image Processing Scientist jobs are:
Image Processing Scientist jobs near you
Image Processing SME

Image Processing SME

InterImage

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

We are seeking a highly skilled Image Processing Subject Matter Expert (SME) to support the development of advanced imaging and signal processing solutions within a cutting-edge FPGA engineering environment. The ideal candidate will possess deep expertise in scientific and computational imaging, image correction algorithms, machine vision, and automated image analysis. This role will work closely with FPGA, software, hardware, and algorithm development teams to design and optimize image processing pipelines for high-performance, mission-critical applications.
The successful candidate will contribute to the development of advanced imaging solutions involving microscopy, scientific sensors, electro-optical systems, and other high-resolution imaging platforms. This position offers the opportunity to solve complex imaging challenges while supporting innovative technologies for government, research, and commercial applications.
Responsibilities
  • Analyze and develop image correction algorithms to compensate for optical aberrations, lensing defects, sensor non-linearity, geometric distortions, illumination inconsistencies, and other imaging artifacts.
  • Design, evaluate, and optimize advanced image processing pipelines for scientific and high-resolution imaging systems.
  • Develop algorithms for object detection, feature extraction, segmentation, classification, and pattern recognition within large image datasets.
  • Create and optimize image stitching, registration, and mosaic generation techniques for microscopy and scientific imaging applications.
  • Implement image preprocessing methods including noise reduction, deconvolution, contrast enhancement, normalization, filtering, and edge detection.
  • Collaborate with FPGA engineers to transition computational imaging algorithms into hardware-accelerated implementations.
  • Evaluate algorithm performance, accuracy, throughput, and resource utilization for real-time and near-real-time processing applications.
  • Develop and validate machine learning and computer vision models for automated image analysis workflows.
  • Support integration, testing, verification, and validation of imaging systems and processing pipelines.
  • Work with multidisciplinary teams including FPGA developers, software engineers, optical engineers, data scientists, and system architects.
  • Document technical designs, algorithm performance analyses, validation results, and implementation approaches.
  • Provide technical leadership and subject matter expertise on imaging science, computational photography, and machine vision technologies.

Requirements
Required Qualifications
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, Imaging Science, or a related technical discipline.
  • 8+ years of experience developing advanced image processing, computer vision, or computational imaging solutions.
  • Strong understanding of image formation, optics, sensor technologies, and imaging system performance characteristics.
  • Demonstrated experience correcting scientific image data affected by aberrations, lens distortion, optical anomalies, non-uniform illumination, and sensor artifacts.
  • Expertise in object detection, feature extraction, image segmentation, and pattern recognition algorithms.
  • Experience developing image registration, alignment, and stitching solutions for large-scale image mosaics.
  • Strong knowledge of image preprocessing techniques and enhancement methodologies.
  • Experience handling large, high-resolution image datasets while optimizing performance and computational efficiency.
  • Proficiency in Python, C++, MATLAB, or similar algorithm development environments.
  • Ability to communicate complex technical concepts effectively across engineering disciplines.
Desired Qualifications
  • Experience supporting FPGA-based image processing architectures and hardware acceleration initiatives.
  • Knowledge of GPU computing, parallel processing, and high-performance computing techniques.
  • Experience developing machine learning models for image classification, detection, segmentation, and anomaly detection.
  • Familiarity with hyperspectral, multispectral, electro-optical, infrared, or scientific imaging systems.
  • Experience working with microscopy imagery, laboratory imaging systems, or advanced scientific instrumentation.
  • Knowledge of computer vision model deployment for real-time processing environments.
  • Experience supporting government agencies, research laboratories, federally funded research organizations, or commercial entities focused on imagery exploitation and analysis.
  • Familiarity with imaging standards, calibration methodologies, and quantitative image quality assessment.
  • Experience utilizing image processing libraries such as OpenCV, SciPy, NumPy, scikit-image, TensorFlow, PyTorch, or equivalent frameworks.

Education:
  • The individual will likely hold a Masters Degree or even a PhD in Electrical Engineering, Physics, Computer Science, Computer Engineering or Mathematics.

Requirements:
  • TS/SCI Full Scope Poly required

Benefits
  • 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
  • PTO: 20 days per year
  • Healthcare, dental, vision, Free for a single participant
  • $50,000 Life insurance provided, additional voluntary life insurance available

InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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