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Machine Vision Software Engineer Jobs in Allentown, PA

As a Senior Software Engineer, you will develop and execute key technology components of the Group ... vision, strategy and goals. The role will specifically support the objectives aligned with the ACE ...

Lead Software Engineer

Bethlehem, PA · Hybrid

$99K - $162K/yr

... vision from the Platform / Product D&T leader into development by partnering across the engineers ... Lead and mentor a team of software engineers, fostering a collaborative and high-performing ...

As part of our Engineering Team, our Senior Software Engineer, Robotics drives some of the most ... Medical, dental, vision, 401(K) * 100% Employer Paid Life Insurance + Long Term Disability ...

We are looking for a talented AI Solution Engineer to join our innovative team. This role involves ... Work closely with data scientists, software engineers, and other stakeholders to align AI solutions ...

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Machine Vision Software Engineer information

See Allentown, PA salary details

$62.7K

$145.6K

$202.8K

How much do machine vision software engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for machine vision software engineer in Allentown, PA is $145,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $170,700.00 per year, depending on experience, location, and employer.

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.

What job categories do people searching Machine Vision Software Engineer jobs in Allentown, PA look for?

The top searched job categories for Machine Vision Software Engineer jobs in Allentown, PA are:

What cities near Allentown, PA are hiring for Machine Vision Software Engineer jobs?

Cities near Allentown, PA with the most Machine Vision Software Engineer job openings:

MES Software Engineer/Data Analyst

Broadcom Inc.

Allentown, PA • On-site

$109.70 - $175.50/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Broadcom rating

8.7

Company rating: 8.7 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

18th of 159 rated electronics manufacturers


Job description

Job Description

Broadcom is seeking an experienced MES software engineer to design, develop, deploy, and continuously enhance a custom MES platform that can incorporate AI‑driven capabilities for semiconductor wafer fabrication operations. The role will work closely with operations, engineering, IT, IE, quality, and production teams to modernize manufacturing processes, improve traceability, optimize production efficiency, and integrate intelligent automation and analytics. Located in Breinigsville, PA, our high volume 24/7 manufacturing facility produces products to enable fiber optic communication expansion. Successful candidates will possess a strong combination of semiconductor manufacturing knowledge, software development expertise, database architecture experience, and data analytics skills.

Core Responsibilities
  • Design, configure, develop, and implement MES platforms supporting semiconductor manufacturing operations.
  • Build configurable manufacturing workflows, process routes, dispatching logic, production tracking, and electronic work instructions.
  • Design and develop MES application frameworks, APIs, services, and user interfaces.
  • Create scalable database architectures supporting genealogy, traceability, SPC, quality management, WIP tracking, and manufacturing analytics.
  • Develop integrations between MES and ERP, equipment automation systems, PLCs, SCADA platforms, historians, laboratory systems, and enterprise applications.
  • Build custom dashboards, reporting tools, analytics platforms, and real‑time manufacturing monitoring applications.
  • Develop AI‑enabled capabilities including predictive maintenance, anomaly detection, process optimization, intelligent scheduling, and decision‑support systems.
  • Configure production tracking, genealogy, quality management, electronic batch records, and traceability functions.
  • Collaborate with data science and AI teams to integrate predictive analytics, machine learning, and automation tools.
  • Collaborate with manufacturing and engineering teams to translate business requirements into software solutions.
  • Create technical documentation, system specifications, SOPs, training materials, and support documentation.
  • Ensure cybersecurity, data integrity, system reliability, and regulatory compliance requirements are met.
  • Support software lifecycle management, upgrades, performance optimization, and long‑term platform strategy.
  • Support system upgrades, patches, and long‑term scalability planning.
Required Qualifications
  • Education: BS in Computer Science, Software Engineering, Computer Engineering, Industrial Engineering, Manufacturing Engineering, Information Technology, Automation, or related field with 8+ years of experience; or MS with 6+ years of experience.
  • Experience developing, implementing, and supporting MES platforms.
  • Experience building internally developed MES or manufacturing applications.
  • Semiconductor, Pharmaceutical, Medical device, Automotive, Electronics manufacturing experience strongly preferred.
  • Experience with MES platforms such as Siemens Opcenter, Rockwell FactoryTalk, Ignition, AVEVA/Wonderware, SAP ME/MII, Tulip, Critical Manufacturing, Apriso.
  • Programming experience in SQL, Python, C#, JavaScript, .NET.
  • Knowledge of REST APIs, OPC UA, MQTT, industrial networking, database management.
  • Experience integrating MES with ERP systems, PLCs, SCADA, IoT devices, cloud platforms.
  • Understanding of AI/ML concepts and industrial AI applications.
  • Familiarity with data visualization and reporting tools.
Preferred Qualifications
  • Previous experience designing and deploying MES systems in a manufacturing environment.
  • Experience implementing AI‑driven manufacturing or Industry4.0 initiatives.
  • Knowledge of machine learning applications in production environments.
  • Experience with cloud platforms: AWS, Azure, Google Cloud.
  • Familiarity with digital twins, predictive maintenance, process optimization.
  • Experience in regulated manufacturing environments.
  • MES vendor certifications preferred.
Soft Skills
  • Strong analytical and problem‑solving abilities.
  • Excellent communication and cross‑functional collaboration skills.
  • Ability to manage multiple projects simultaneously.
  • Strong documentation and organizational skills.
  • Self‑motivated with continuous improvement mindset.
  • Ability to translate business needs into technical solutions.
Key Deliverables
  • Successful MES deployment and integration.
  • Improved manufacturing visibility and traceability.
  • Reduced downtime and production errors.
  • Accurate reporting and data‑driven decision‑making.
  • User adoption and operational support.
Compensation and Benefits

Annual base salary range: $109,700 – $175,500. Eligible for discretionary annual bonus, new‑hire equity grant, and annual equity awards. Other benefits include medical, dental, and vision plans; 401(k) participation with company matching; Employee Stock Purchase Program; Employee Assistance Program; company‑paid holidays; paid sick leave and vacation time; paid family leave, and other leaves of absence in compliance with applicable laws.

Broadcom is proud to be an equal‑opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status, or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.

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