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Image Processing Engineer Jobs in Georgia (NOW HIRING)

... image processing and radio waves. * Extensive understanding of design control system and logic ... Bachelor of science degree in electrical engineering or equivalent experience. * Minimum 5 yrs ...

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 ...

Experience with Wi-Fi-enabled chipsets, preferably Texas Instruments SimpleLink Processors (CC32XX ... Experience developing build tools in C, Python, or other languages to assist with FW image ...

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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 Jul 12, 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 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 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 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 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 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 July 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $109,914 per year, or $52.8 per hour.
Video Encoding & Decoding Tech Expert

Video Encoding & Decoding Tech Expert

Hisense USA

Alpharetta, GA • On-site

Full-time

Re-posted yesterday


Job description

Salary:

Location: This position will be in our Alpharetta office or can be remote if necessary.


Duties/Responsibilities:

  • Research international standards for video encoding and decoding (such as H.264/AVC, H.265/HEVC, H.266/VVC, etc.), and their extension technologies.
  • Design, implement, and optimize video encoding and decoding algorithms, including but not limited to core modules such as motion estimation/compensation, transform quantization, entropy encoding, loop filtering, and rate control.
  • Explore and develop new generation efficient video encoding technologies such as JVET EE2.
  • Pay attention to the latest technological trends in the field of video encoding and decoding (such as AI assisted encoding, end-to-end AI encoding, immersive video encoding, etc.), conduct forward-looking research and technical reserves.
  • Participate in MPEG and other standard conferences and submit relevant technical proposals.


Requirements:

  • Master's degree or above in computer science, electronic engineering, signal processing or related majors
  • More than 3 years of experience in researching or developing video encoding and decoding algorithms
  • Proficient in the principles and implementation details of at least one mainstream video coding standard (such as H.264/AVC, H.265/HEVC, H.266/VVC,S AV1, etc.)
  • Solid foundation in digital signal processing, image processing, and information theory, proficient in C/C++ programming language, good coding ability and software engineering literacy
  • Good communication skills and teamwork spirit
  • Excellent English reading and communication skills
  • Experience in MPEG and AVS proposals is preferred



Hisense USA is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, or genetic information. We comply with all applicable laws regarding equal employment opportunity and affirmatively seek to recruit, develop, and promote qualified individuals from diverse backgrounds. Our company is committed to providing a work environment that is free from discrimination, harassment, and retaliation. We encourage applicants of all ages, races, ethnicities, religions, genders, sexual orientations, and abilities to apply for employment with our company.