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Image Processing Engineer Jobs (NOW HIRING)

Google

Image Processing Engineer

Mountain View, CA · On-site

They are seeking an Image Processing Engineer to optimize image quality across hardware and software, fine-tune algorithms, and build software tools utilizing machine learning for image quality ...

PaxeraHealth

Sr. Image Processing Engineer

Newton Center, MA · Remote

$107K - $146K/yr

The Senior Image Processing Engineer works at a high level with the entire life cycle of data classification algorithms and image processing, specifically for medical imaging, including analyzing ...

Teledyne

Senior Image Processing Engineer

Goleta, CA

$113K - $151K/yr

The Video Signal Processing and Algorithms (VSP&A) team is seeking to hire a Senior Image Processing Engineer to solve problems and implement solutions related to infrared image and video quality and ...

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How much do image processing engineer jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for image processing engineer in the United States is $62.58, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.83 per hour, depending on experience, location, and employer.

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.

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Image Processing Engineer jobs near you

Image Processing Engineer

Google

Mountain View, CA • On-site

Full-time

Posted 7 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

31st of 185 rated software companies

Job description

Job Summary:
Google is a leading technology company that develops various computing software platforms and devices. They are seeking an Image Processing Engineer to optimize image quality across hardware and software, fine-tune algorithms, and build software tools utilizing machine learning for image quality tuning and testing.
Responsibilities:
• Optimize image quality across the hardware and software stack, ensuring hardware capabilities are leveraged through software tuning.
• Fine-tune 3A algorithms to ensure performance across lighting and environmental conditions.
• Build software tools, utilizing machine learning (ML) automation to streamline image quality (IQ) tuning, testing, benchmarking, and calibration workflows.
Qualifications:
Required:
• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., optics, sensors, audio, or DSP), or equivalent practical experience.
• 2 years of experience working in an image quality, computer vision, or related technical environment.
• Experience with Python and C++ for algorithm development and implementation.
Preferred:
• Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., optics, sensors, audio, or DSP).
• Experience with emerging technologies and new technical domains.
• Ability to solve multi-layered technical problems on their own with a high degree of motivation.
• Excellent written and verbal communication skills, with a demonstrated ability to translate technical concepts into clear, actionable insights for cross-functional partners.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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