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Machine Vision Software Engineer Jobs in Pennsylvania

Computer Vision Engineer

Pittsburgh, PA · On-site +1

$110K - $165K/yr

You'll be responsible for software and machine learning model development of our on-camera and ... The role As a Computer Vision Engineer you will be responsible for creating the computer vision ...

Senior Software Engineer

Audubon, PA

$123.60K - $162.90K/yr

The Senior Software Engineer will be a part of our rapidly growing surgical navigation division ... Experience in Machine Vision * Experience in UI design and development * Experience programming in ...

Senior Software Engineer

Audubon, PA · On-site

$123.60K - $162.90K/yr

The Senior Software Engineer will be a part of our rapidly growing surgical navigation division ... Experience in Machine Vision * Experience in UI design and development * Experience programming in ...

Senior Software Engineer

Audubon, PA · On-site

$123.60K - $162.90K/yr

The Senior Software Engineer will be a part of our rapidly growing surgical navigation division ... Experience in Machine Vision * Experience in UI design and development * Experience programming in ...

Senior Software Engineer

Audubon, PA

$123.60K - $162.90K/yr

The Senior Software Engineer will be a part of our rapidly growing surgical navigation division ... Experience in Machine Vision * Experience in UI design and development * Experience programming in ...

Software Engineer

Philadelphia, PA · On-site

$105.10K - $164.13K/yr

Design, develop, test, install, and maintain Machinery Control Systems software and supporting ... Adequate vision is necessary to read technical manuals, identify color-coded systems, and detect ...

Summary: The Video Software Engineer is responsible for developing, optimizing, and maintaining ... Knowledge of machine vision standards and transports * Familiarity with ZMQ or other message bus (e ...

New

Robotics Software Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these ... perception/computer vision, or manipulation. * Experience with ROS/ROS2 or other robotics ...

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Showing results 1-20

Machine Vision Software Engineer information

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 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 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 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.

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 cities in Pennsylvania are hiring for Machine Vision Software Engineer jobs? Cities in Pennsylvania with the most Machine Vision Software Engineer job openings:

Computer Vision Engineer

Aquabyte

Pittsburgh, PA • On-site, Remote

$110K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

Aquabyte is seeking a Computer Vision Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our on-camera and cloud software.
Our mission
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.
The role
As a Computer Vision Engineer you will be responsible for creating the computer vision software pipelines to improve the intelligence and efficiency of our camera system. This role is on the AI team where we develop image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.
Required Qualifications
  • BS/MS in relevant technical degree
  • 3+ years of experience with building computer vision software
  • Strong coding ability; strong grasp of Python
  • Experience with stereo vision, 3D reconstruction, and stereo calibration
  • Experience with training neural networks / deep learning (ideally pytorch)

Bonus Qualifications
  • Experience optimizing model inference for real-time inference on limited resources
  • Strong software engineering skills; knowledge of best practices, testing, and deployment
  • Experience deploying models to NVIDIA Jetson boards or similar resource constrained environments
  • 3D data processing skills (voxelmap generation / reasoning)
  • Experience with Docker and cloud SW development (i.e. AWS)
  • Basic database interaction; knowledge of SQL

Benefits
  • Competitive salary and equity
  • Unlimited vacation policy
  • Flexible working hours
  • Medical, vision, & dental insurance
  • Retirement matching plan
  • Potential travel to Norway
  • Evolve in a fast-paced environment
  • Be able to shape a business in its early days
  • Get ideas, feedback, and suggestions from other best-in-their-field colleagues
  • Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow

$110,000 - $165,000 a year
Aquabyte takes a market-based approach to compensation. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.
Aquabyte is a private company headquartered in San Francisco, and is supported by NEA, Costanoa Ventures, and many other respected investors.
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don't satisfy all the requirements, and we will get back to you as soon as possible!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.