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Machine Vision Software Engineer Jobs in Pennsylvania

AVTC Group

Sr Software Engineer

State College, PA · On-site +1

$119K - $157K/yr

Depending on the type of employment we can offer benefits: including Health, Dental Vision etc ... in Machine Learning and Data Science. • Experience working with large datasets and performing ...

Cadence

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... machine learning concepts (e.g., supervised/unsupervised learning, NLP, computer vision) and ... software to accelerate innovation in the engineering design of silicon to systems. Founded in 1988 ...

Woolpert

Senior Software Engineer

Pittsburgh, PA · Hybrid

$118K - $156K/yr

Position Overview Woolpert is hiring a Senior Software Engineer to join our dynamic Atlas Labs team ... Computer Vision * AI & Machine Learning * LiDAR * Robotics/Self-Driving/Autonomy * General ...

SunSource

Electrical Design & Controls Engineer

Exton, PA · On-site

$77K - $103K/yr

Our offerings range from industrial computers and software, Robotics, Machine Vision, and Motion ... Controls Engineering * Develop PLC, HMI, and motion control software for custom automation systems.

SunSource

Electrical Design & Controls Engineer

Exton, PA

$77K - $103K/yr

Our offerings range from industrial computers and software, Robotics, Machine Vision, and Motion ... Controls Engineering * Develop PLC, HMI, and motion control software for custom automation systems.

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All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in Pennsylvania

Machine Vision Software Engineer information

What engineer makes $500,000 a year?

A highly experienced Machine Vision Software Engineer working in specialized industries such as autonomous vehicles, aerospace, or advanced robotics can earn $500,000 or more annually. These roles often require advanced skills in computer vision, deep learning, and extensive experience, sometimes supplemented by leadership responsibilities or equity compensation.

What does a Machine Vision Software Engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges Machine Vision Software Engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

What are the key skills and qualifications needed to thrive as a Machine Vision Software Engineer, and why are they important?

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

What is the difference between Machine Vision Software Engineer vs Computer Vision Engineer?

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex AI systems. AI is more likely to augment rather than fully replace MLE roles, which require expertise in data handling, model tuning, and deployment. Staying current with evolving AI frameworks and programming skills is important for MLEs to remain valuable in the field.

What does a machine vision engineer do?

A machine vision engineer designs and develops systems that enable computers to interpret and analyze visual data using cameras, sensors, and image processing algorithms. They often work with programming languages like C++ or Python, and tools such as OpenCV or MATLAB, to create applications for quality inspection, robotics, or automation. The role typically requires knowledge of computer vision, image processing, and sometimes machine learning or deep learning techniques.

What tech jobs pay $400,000 a year?

High-paying tech roles such as senior machine vision software engineers, AI researchers, and data science directors can reach or exceed $400,000 annually, especially with extensive experience, advanced skills in machine learning and computer vision, and leadership responsibilities. These positions often require advanced degrees, specialized certifications, and work in industries like autonomous vehicles, robotics, or large-scale AI development.
What are popular job titles related to Machine Vision Software Engineer jobs in Pennsylvania? For Machine Vision Software Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Machine Vision Software Engineer jobs in Pennsylvania look for? The top searched job categories for Machine Vision Software Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Machine Vision Software Engineer jobs? Cities in Pennsylvania with the most Machine Vision Software Engineer job openings:
Machine Vision Software Engineer jobs near you

Sr Software Engineer

AVTC Group

State College, PA • On-site, Remote

$119K - $157K/yr

Full-time

Medical, Dental, Vision

Re-posted 12 days ago

Job description

Active TS/SCI is a must - this effort is on-site
All qualified candidates will be responded to within 24 hrs or less.
Employment type: Full Time w-2 or C2C or 1099. Depending on the type of employment we can offer benefits: including Health, Dental Vision etc...
Rate: 90-115/hr DOE and compensation type
On-Site in State College PA
In the Senior ML/Data Science Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a Linux, Agile, DevOps environment. We are at the forefront of aerospace and defense technology. Our Satellite Ground Systems Team plays a pivotal role in ensuring communication, surveillance, and defense capabilities through cutting-edge satellite systems. We invite you to be part of a team that pushes the boundaries of what's possible. Due to the security clearance requirement, this is an onsite position in our State College, PA office.
What You Will Do
•Design, develop, and maintain advanced software applications for our Satellite Ground Systems.
•Collaborate closely with systems engineers, hardware designers, and other software engineers to deliver reliable and high-performance software solutions.
•Design, implement, and test AI, ML, Java and Python based applications and software components for satellite ground systems.
•Work in parallel with legacy platform teams to eventually migrate workloads onto your pipelines.
•Collaborate with cross-functional teams to define software requirements and specifications.
•Work with previously written code and make modifications as necessary.
•Ensure software performance, reliability, and scalability.
•Participate in software design reviews, code reviews, and system integration activities.
•Contribute to the completion of program and project milestones under the specific guidance of their immediate supervisor.
•Follow established Software processes and procedures, development, documentation and maintenance/management of operations concepts, requirements (system, element, segment level), external and internal interfaces, and other software engineering work products/artifacts.
Qualifications You Must Have
•Active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
•Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and five (5) years of Software Engineering experience.
•Experience in object-oriented software design and development using Java or Python in a Linux environment.
•Experience with unit testing tools (e.g., JUnit).
•Experience in Machine Learning and Data Science.
•Experience working with large datasets and performing data analysis.
Qualifications We Prefer
•Strong analytical skills and proactive problem-solving abilities, with a deep understanding of AI/ML technologies, cloud architecture, and enterprise software.
•Security+ certification.
•Experience with Git, Jenkins, Docker, Kubernetes.
•Experience with the Atlassian Tool Suite (e.g. JIRA, Confluence, BitBucket).
•Experience with cloud computing platform (e.g. AWS or Azure).
•Experience with satellite communication systems and protocols is highly preferred.
•Familiarity with secure coding practices, especially in a defense or aerospace setting.
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