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Machine Vision Image Processing Engineer Jobs (NOW HIRING)

Johns Hopkins Applied Physics Laboratory

$85K/yr

Have experience applying signal processing, image processing, pattern recognition, machine learning ... vision, life insurance, short-term disability, long-term disability, flexible spending accounts ...

Warehouse Fixers

Vision Systems Engineer

Ontario, CA · On-site

Bastian Solutions is hiring a Vision Systems Engineer to design and deploy machine vision solutions ... Understanding of camera optics, lighting techniques, and image processing * PLC integration skills ...

Apple Inc.

$150K - $277K/yr

GPU Image Processing Framework Software Engineer Cupertino, California, United States Software and ... machine-learning integration. You will play a meaningful role in adding new capabilities and ...

InterImage

Knowledge of training and deploying machine learning models for real-time or batch image analysis ... The individual will likely hold a Masters Degree or even a PhD in Electrical Engineering, Physics ...

Uniting Holding

WI · On-site

Catalyx is seeking a Machine Vision Engineer to join our team in Belgium. Catalyx is a leader in ... Advanced understanding and knowledge of computer vision solutions and principles including image ...

ATS Automation Tooling Systems Inc

Heimstetten, BY, DE, 85551 Software Developer - Industrial Machine Vision (m/f/d) Your ... Real-time image processing: Hardware-oriented runtime optimization to ensure minimal latency under ...

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Machine Vision Image Processing Engineer information

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$31.5K

$128.8K

$193.5K

How much do machine vision image processing engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine vision image processing engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a machine vision image processing engineer?

A Machine Vision Image Processing Engineer is a professional who designs, develops, and implements computer vision systems that enable machines to interpret and process visual information from digital images or videos. They work with algorithms, image sensors, and hardware to automate inspection, measurement, and analysis tasks in industries like manufacturing, robotics, and healthcare. Their responsibilities often include programming, optimizing image processing pipelines, and integrating vision systems into broader automation solutions.

What are some common challenges faced by machine vision image processing engineers when integrating new vision systems into existing manufacturing processes?

One common challenge Machine Vision Image Processing Engineers encounter is ensuring that new vision systems are compatible with existing hardware and production workflows. Integrating complex image processing algorithms often requires close collaboration with controls engineers and production staff to minimize downtime and maintain product quality. Additionally, adapting vision solutions to variable lighting, product orientation, or surface finish can require significant fine-tuning. Effective communication, iterative testing, and cross-disciplinary problem-solving are key to a successful integration.

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

To thrive as a Machine Vision Image Processing Engineer, you need a strong background in computer vision, image processing algorithms, and programming languages such as Python or C++, typically supported by a degree in engineering, computer science, or a related field. Familiarity with tools like OpenCV, MATLAB, and machine learning frameworks, as well as experience with camera hardware and vision system integration, are commonly required. Critical thinking, problem-solving, and effective communication are crucial soft skills for innovating solutions and collaborating with multidisciplinary teams. These skills ensure the development of robust, accurate, and efficient vision systems essential for industrial automation, quality control, and advanced technology applications.

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

AspectMachine Vision Image Processing EngineerComputer Vision Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Science, or related fields; knowledge of image processing toolsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; strong programming skills
Work EnvironmentManufacturing, automation, quality inspection settingsResearch labs, tech companies, AI development environments
Industry UsageIndustrial automation, robotics, quality controlAutonomous vehicles, surveillance, AI applications

Machine Vision Image Processing Engineers focus on developing systems for industrial inspection and automation, primarily working with image acquisition and processing hardware. In contrast, Computer Vision Engineers work on broader AI-driven visual understanding, often in research or software development for applications like autonomous vehicles or AI-powered analytics. While both roles require strong technical skills, their work environments and application areas differ significantly.

What cities are hiring for Machine Vision Image Processing Engineer jobs?

Cities with the most Machine Vision Image Processing Engineer job openings:

What are popular job titles related to Machine Vision Image Processing Engineer jobs?

For Machine Vision Image Processing Engineer jobs, the most frequently searched job titles are:

Signal and Image Processing Engineer-Laurel, Maryland

Johns Hopkins Applied Physics Laboratory
Manufacturing • 5 - 10K employees
Learn more about Johns Hopkins Applied Physics Laboratoryexternal

$85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Key responsibilities

  • Design, implement, and evaluate signal and image processing algorithms to extract information from sensor systems.

  • Develop advanced filtering, detection, estimation, tracking, and classification algorithms using simulated and real data.

  • Participate in all aspects of the algorithm development life cycle, from data curation through deployment to performance benchmarking.

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 75 rated research

Job description

Description
Do you have expertise in the research and development of signal or image processing algorithms?
Would you like to use that expertise to help advance U.S. Navy electromagnetic systems for national security missions?
If so, we're looking for someone like you to join us at APL.
We are looking for a driven Signal and Image Processing Engineer to join us in pushing the boundaries of digital signal and image processing techniques to advance electromagnetic system capabilities supporting government and military maritime missions. We are a team of engineers, mathematicians, and scientists who seek to characterize and understand sensor data in order to detect, classify, and localize signatures in complex environments. Our group's dynamic expertise enables us to solve a wide range of radar, electronic warfare (EW), remote sensing, and signal processing problems for maritime missions. As a member of the team, you will develop innovative algorithms, prototypes, and analysis products that provide greater situational awareness and operational utility to the warfighter.
As a Signal and Image Processing Engineer you will...
  • Design, implement, and evaluate signal and image processing algorithms to extract information from sensor systems.
  • Develop advanced filtering, detection, estimation, tracking, and classification algorithms using simulated and real data in temporal, spatial, and/or spectral domains.
  • Evaluate real-world performance of current algorithms and make recommendations for further development to improve performance.
  • Combine specialized knowledge and the latest advances in signal processing to apply fresh perspectives to existing and new challenges for our sponsors.
  • Participate in all aspects of the algorithm development life cycle, from data curation through deployment to performance benchmarking.
  • Clearly communicate findings through well-written code, presentations, and technical reports.
  • Expand your knowledge of electromagnetic systems and the maritime domain.

Qualifications
You meet our minimum qualifications for the job if you...
  • Possess a BS degree in electrical engineering, mathematics, physics, computer science, or another related field.
  • Have experience applying signal processing, image processing, pattern recognition, machine learning, deep learning, or related techniques to extract meaningful information from sensors.
  • Have experience prototyping algorithms using MATLAB or Python.
  • Have proven analytical and problem-solving skills, can work independently, and will be comfortable working in closed area facilities.
  • Hold an active Top Secret security clearance.and can ultimately obtain a TS/SCI level clearance If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Have an MS in electrical engineering, mathematics, physics, computer science, or another related field.
  • Have 3 or more years of experience applying signal processing, pattern recognition, machine learning, deep learning, or related techniques to extract meaningful information from electromagnetic systems.
  • Have strong working knowledge of remote sensing phenomenology in one or more modalities such as EO/IR, SAR, MSI/HSI, or radar.
  • Have experience building trusted relationships with technical staff members and collaborating with external DoD or IC organizations.
  • Have strong communication and interpersonal skills, including the ability to write and present technical topics to peers, managers, and government sponsors.
  • Are capable of shepherding algorithms through the full life cycle from initial conception and prototyping through high-performance implementation, deployment, benchmarking, and validation and verification (V&V).

#LI-AG1
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$85,000 Annually
Maximum Rate
$195,000 Annually

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