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Image Processing Python Jobs (NOW HIRING)

Image Processing Engineer BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We ... Develop software primarily in C, with supporting development in Python * Optimize algorithms and ...

Image Processing Engineer BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We ... Develop software primarily in C, with supporting development in Python * Optimize algorithms and ...

>" /> Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations ... Proficiency with MATLAB, Python, or C#, and experience with OpenCV, Pillow, TensorFlow, scikit ...

Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations ... Proficiency with MATLAB, Python, or C#, and experience with OpenCV, Pillow, TensorFlow, scikit ...

Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations ... Proficiency with MATLAB, Python, or C#, and experience with OpenCV, Pillow, TensorFlow, scikit ...

Designing, developing, and optimizing innovative image processing and computer vision algorithms ... Prototyping and validating algorithms in MATLAB or Python and translating successful solutions into ...

Designing, developing, and optimizing innovative image processing and computer vision algorithms ... Prototyping and validating algorithms in MATLAB or Python and translating successful solutions into ...

Who We're Looking For We are seeking an Image Processing Engineer III who will be responsible for ... Experience developing software inC++ and/or Python for algorithm development, simulation, and ...

By combining satellite observations, advanced image processing and data science, we transform large ... Strong programming skills in Python, C++ and experience with scientific and geospatial libraries ...

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How much do image processing python jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for image processing python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is image processing in Python?

Image processing in Python refers to the use of Python programming and libraries to analyze, manipulate, and transform digital images. Python offers powerful libraries such as OpenCV, Pillow, and scikit-image, which make it easier to perform tasks like filtering, edge detection, resizing, and object recognition. Image processing is widely used in fields like computer vision, machine learning, and medical imaging. Python's easy syntax and vast ecosystem make it a popular choice for both beginners and professionals working with images.

What are the key skills and qualifications needed to thrive as an image processing Python developer?

To thrive as an Image Processing Python Developer, you need strong programming skills in Python, a solid understanding of image processing concepts, and typically a degree in computer science or a related field. Experience with libraries and tools such as OpenCV, PIL/Pillow, NumPy, and familiarity with machine learning frameworks is highly valuable. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating on complex projects and interpreting results. These competencies enable the development of efficient, reliable solutions for analyzing and manipulating visual data in various applications.

What are some common challenges faced by image processing Python professionals when working on real-world projects?

Image Processing Python professionals often encounter challenges such as handling large volumes of high-resolution image data, optimizing processing speed, and ensuring code scalability for diverse applications. Integrating advanced libraries like OpenCV or scikit-image with custom algorithms requires strong debugging and testing skills. Effective communication with cross-functional teams, such as data scientists and software engineers, is also essential to align image processing outputs with project goals and deployment requirements.

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

AspectImage Processing PythonComputer Vision Engineer
Required SkillsPython, OpenCV, NumPy, image analysisPython, OpenCV, deep learning, machine learning
Work EnvironmentResearch labs, software development, data analysisAI companies, tech firms, research institutions
Industry UsageImage enhancement, filtering, preprocessingObject detection, recognition, autonomous systems

Image Processing Python focuses on manipulating and analyzing images using Python libraries, often for preprocessing or enhancement tasks. Computer Vision Engineers build on this foundation to develop systems that interpret and understand visual data, often incorporating machine learning. While both roles require Python and image analysis skills, Computer Vision Engineers typically work on more complex AI-driven applications.

What other helpful pages are available for Image Processing Python?

Other pages related to Image Processing Python:

Infographic showing various Image Processing Python job openings in the United States as of September 2026, with employment types broken down into 66% Full Time, 24% Part Time, 5% Temporary, and 5% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Image Processing Engineer

Sioux Falls, SD • On-site

KBR, Inc.
IT Services • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


KBR rating

8.3

Company rating: 8.3 out of 10

Based on 48 frontline employees who took The Breakroom Quiz


Job description

Title:
Image Processing Engineer
BELONG. CONNECT. GROW. with KBR.
Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we all share one goal: to improve the world responsibly and safely.
Join us at the Earth Resources Observation and Science (EROS) Center and help shape the future of Earth science data systems. As part of our mission-driven team, you'll contribute to projects that make a global impact, supporting research, innovation, and technology that empower scientists and decision-makers worldwide.
Position Overview
KBR is seeking an Image Processing Engineer in Sioux Falls, SD, to support the USGS Earth Resources Observation and Science (EROS) Center. This is a full-time, onsite position requiring consistent, in-person collaboration with team members, scientists, and mission partners.
In partnership with NASA and the Landsat project, this position supports Landsat product generation, which processes satellite imagery used by scientists, researchers, government agencies, and organizations around the world. You will develop and optimize high-performance image processing applications that support operational satellite data processing and future Earth observation initiatives.
Why You'll Love This Role
  • Contribute to meaningful, mission-critical Earth science initiatives
  • Develop software supporting one of the world's longest-running satellite programs
  • Work alongside experienced engineers and scientists who value innovation
  • Apply advanced software engineering techniques to large-scale image processing systems
  • Solve complex performance and scalability challenges
  • Work with modern cloud technologies and scientific data-processing platforms

Core Responsibilities
As a Image Processing Engineer, you will independently execute engineering tasks and contribute throughout the software development lifecycle.
  • Design, develop, and maintain image-processing software components
  • Develop software primarily in C, with supporting development in Python
  • Optimize algorithms and processing workflows to reduce runtime and improve processing throughput
  • Design and maintain applications that write to and query relational databases
  • Develop solutions that ingest, process, and distribute large volumes of satellite imagery and derived products
  • Support cloud-based image-processing architectures and workflows
  • Perform software planning, requirements refinement, and technical design activities
  • Develop, execute, and document unit and integration tests
  • Troubleshoot operational processing issues and implement corrective actions
  • Participate in code reviews, design reviews, and technical discussions
  • Collaborate closely with Systems Engineers, Software Engineers, Scientists, and mission stakeholders

Education & Skills
Education
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Mathematics, Physics, or a related technical discipline.
Experience
  • Seven or more years of professional software engineering experience
  • Experience developing software in C within Linux/Unix environments
  • Experience working with data-intensive processing systems
  • Experience supporting cloud computing environments
  • Experience interfacing with relational database systems
Required Skills
  • Strong proficiency in C programming
  • Working knowledge of Python
  • Experience writing software that interfaces with databases
  • Relational database experience
  • Linux/Unix expertise
  • Experience improving software performance and decreasing processing runtime
  • Strong understanding of software development lifecycle practices
  • Experience with Git-based source control management
  • Excellent analytical, organizational, and communication skills
  • Ability to work independently and collaboratively within a highly skilled technical team
Desired Skills
  • Digital image processing experience
  • Remote sensing or Earth observation experience
  • Scientific computing experience
  • Cloud-native processing architectures
  • AWS cloud services experience
  • Postgres database experience
  • Satellite ground-system experience
  • Mathematics, physics, or related scientific background
  • Experience with AI-assisted software development and documentation tools

Special Requirements
  • Three years of continuous residency in the United States for issuance of a Government Security credential
  • Ability to obtain and maintain a national agency check and background investigation for facility access

Experience and/or Education in lieu of these qualifications will be reviewed for applicability to meet these requirements.
KBR Benefits:
KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.
Click here to learn more: KBR Benefits | KBR
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Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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About KBR

Sourced by ZipRecruiter

At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1998