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Image Processing Engineer Jobs in Georgia (NOW HIRING)

## Software QA Engineer, Supervisory Control PlatformApplylocations: Atlanta, USAtime type: Full ... Define and execute test plans for Computer Vision applications, image/video processing workflows ...

Define and execute test plans for Computer Vision applications, image/video processing workflows ... Work closely with developers, Computer Vision engineers, architects, product managers, DevOps, ...

Define and execute test plans for Computer Vision applications, image/video processing workflows ... Work closely with developers, Computer Vision engineers, architects, product managers, DevOps, ...

Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing ...

Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing ...

Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing ...

Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing ...

Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing ...

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Image Processing Engineer information

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$4

$52

$75

How much do image processing engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for image processing engineer in Georgia is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $56.44 per hour, depending on experience, location, and employer.

What does an image processing engineer do?

An Image Processing Engineer designs, develops, and implements algorithms and systems to analyze, enhance, and manipulate digital images. They work on tasks such as image filtering, feature extraction, pattern recognition, and computer vision applications. Their work is used in a variety of fields including medical imaging, robotics, surveillance, and multimedia. They often use programming languages like Python or C++ and tools like OpenCV or MATLAB to solve complex image-related problems.

What does an image processing engineer do?

An image processing engineer assists with the entire life cycle of data classification algorithms and image processing for a company. Your responsibilities in this career are to analyze data, write reports, develop methods for feature extraction and classification, research basic to advanced image processing algorithms, give presentations, and create visual interpretations of data. Your duties also include working on target detection and tracking, video georeferencing, implementing an image processing system, enhancing new software, and enabling immersive augmented and virtual reality experiences. You also develop algorithms for real 3D images and accurate wireless tracking.

What are the key skills and qualifications needed to thrive as an image processing engineer, and why are they important?

To thrive as an Image Processing Engineer, you need a strong background in mathematics, computer vision, and programming (often with a degree in computer science, electrical engineering, or a related field). Familiarity with tools and libraries such as OpenCV, MATLAB, Python, and machine learning frameworks is typically expected, along with experience in image analysis algorithms. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with multidisciplinary teams and interpret complex results. These skills are crucial for developing robust image processing solutions that meet technical requirements and drive innovation in fields like healthcare, automotive, and security.

What are some common challenges image processing engineers face when working on cross-functional teams?

Image Processing Engineers often collaborate with data scientists, software developers, and hardware engineers, which can present challenges in aligning technical requirements and timelines. One frequent hurdle is ensuring that image processing algorithms integrate seamlessly with broader system architectures, especially when resources or real-time performance constraints are involved. Clear communication and adaptability are key, as team members may have differing levels of understanding of image processing concepts. Building strong collaborative relationships and regularly sharing progress can help overcome these challenges and ensure project success.

What is the difference between Image Processing Engineer vs Computer Vision Engineer?

AspectImage Processing EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of image processing algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; expertise in computer vision techniques
Work EnvironmentResearch labs, tech companies, imaging hardware firmsTech companies, autonomous vehicles, robotics, AI firms
Industry UsageFocus on image enhancement, filtering, and analysisFocus on object detection, scene understanding, and AI integration

While both roles involve working with visual data, Image Processing Engineers primarily focus on improving and analyzing images through algorithms, whereas Computer Vision Engineers develop systems that interpret and understand visual information for applications like autonomous vehicles and AI. The roles often overlap but differ in their core objectives and application areas.

What are popular job titles related to Image Processing Engineer jobs in Georgia?

For Image Processing Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Image Processing Engineer jobs in Georgia look for?

The top searched job categories for Image Processing Engineer jobs in Georgia are:

What are popular job titles related to Image Processing Engineer jobs in GA?

For Image Processing Engineer jobs in GA, the most frequently searched job titles are:

Infographic showing various Image Processing Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $109,914 per year, or $52.8 per hour.

Radar Digital Signal Processing (DSP) Intern/Co-Op

Peachtree Corners, GA • On-site

Internship

Re-posted 14 days ago


Job description

SoloPulse Corp is a dual-use radar company committed to the relentless exploration of the frontiers of radar sensing technology. Through the utilization of novel advanced wave theory algorithms, underpinned by the principles of special relativity, SoloPulse can achieve state of the art resolution and latency metrics. Located in Atlanta, GA, SoloPulse stands as a venture-backed startup, diligently cultivating strategic collaborations to proactively address critical safety imperatives and emerging autonomy needs across both civilian and military domains. Our distinguished team encompasses accomplished engineers, seasoned advisors, and experienced startup veterans, collectively driven by an overarching mission to change the way the world sees.
SoloPulse is seeking a talented Radar Signal Processing Intern to join our dynamic and innovative organization. In this role you will have the opportunity to develop and implement advanced algorithms for radar systems contributing to the success of critical commercial and defense projects. To excel in this role, you must possess strong analytical skills, a deep desire to learn radar signal processing techniques, and a drive to continuously improve and innovate.
Responsibilities
  • Technical challenges cover a broad range of disciplines including antennas, the entire transmit and receive chain, radar system modeling, ground moving target identification, electronic warfare, maritime surveillance, image processing, algorithm development for advanced Radar image products and exploitation
  • Design, development, and analysis of radar system and software architectures
  • Design, implementation, and testing of algorithms for detection, discrimination and tracking systems
  • Modeling and simulation of system designs to demonstrate performance metrics
  • Develop unique solutions and efficient implementations of signal processing algorithms for challenging mission applications
  • Use common industry signal processing tools such as MATLAB, Python or C++ to analyze data and generate algorithms
  • Analyze system level signal propagation, RF system performance, requirements development and review
  • Collaborate with a broad range of cross-functional teams including mechanical, software, program management, and senior leadership

Qualifications
  • Must be pursuing a Bachelor's, Master's, or PhD in mathematics, physics, engineering, or other technical field
  • Proficiency in Matlab, Python, and/or C++
  • Knowledge of digital signal processing techniques such as matched filters, Fourier transforms, and Nyquist sampling rates
  • Strong communication and teamwork skills

Bonus Qualifications
  • Knowledge of maximum likelihood estimators (MLE), stretch processing (or FMCW processing), Doppler shift
  • Knowledge of synthetic aperture radar (SAR) algorithms

Join our team and be part of a dynamic, collaborative environment where innovation and creativity thrive. We offer competitive compensation and the opportunity to work on groundbreaking projects that will shape the future of radar technology.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.