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Machine Vision Software Engineer Jobs in Connecticut

Intellectt INC

Validation Engineer

North Haven, CT · On-site

Troubleshoot complex automated systems including robotics, motion control, and machine vision ... engineering/validation experience (8+ with Master's) * Strong expertise in medical device process ...

Collabera

Sr. Embedded Software Engineer

North Haven, CT · On-site

$123K - $161K/yr

... and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance ... This Senior Software Consultant will work within the R&D engineering team to develop and support ...

Cisco

Software Engineer, Backend

Stamford, CT · On-site

$152K - $219K/yr

... the software development lifecycle. Preferred Qualifications * Programming experience in Rust ... which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching ...

Diedre Moire Corp.

Automation Technician

Windsor, CT · On-site

$80K - $140K/yr

... Machine Vision _ . Must have enough technical ability to: Attach control panels, actuators ... machine interface software into control panels and work stations; and Programming, testing and ...

Cisco

Software Engineer, Backend

Hartford, CT · On-site

$152K - $219K/yr

... the software development lifecycle. Preferred Qualifications * Programming experience in Rust ... which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching ...

Ritchie Bros.

Senior Staff Software Engineer

Norwalk, CT · On-site

$155K - $194K/yr

The Sr. Staff Software Engineer will be part of the new Product Engineering team tasked with ... RB Global full-time employees are offered medical, dental, vision, and basic life insurances.

Ritchie Bros.

Senior Staff Software Engineer

Norwalk, CT

$123K - $162K/yr

The Sr. Staff Software Engineer will be part of the new Product Engineering team tasked with ... RB Global full-time employees are offered medical, dental, vision, and basic life insurances.

CVS Health

Software Development Engineer

Hartford, CT · On-site +1

$106K - $158K/yr

Software Development Engineer to Design and develop software applications and platforms to support ... The Company offers a full range of medical, dental, and vision benefits. Eligible employees may ...

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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 Connecticut? For Machine Vision Software Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Machine Vision Software Engineer jobs in Connecticut look for? The top searched job categories for Machine Vision Software Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Machine Vision Software Engineer jobs? Cities in Connecticut with the most Machine Vision Software Engineer job openings:
Machine Vision Software Engineer jobs near you
Senior Orchestration Software Engineer- Workflow & Integration

Senior Orchestration Software Engineer- Workflow & Integration

AstraZeneca

New Haven, CT • On-site

$123K - $162K/yr

Full-time

Posted 19 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

19th of 74 rated pharmaceutical

Job description

This is what you will do:
Be a key member of the Advanced Robotics & Data Orchestration Team within Alexion's Product Development & Clinical Supply organization. You will own the software layer that coordinates instruments and robots into push-button, reusable workflows. You will design state models, events, and integration modules; partner with data engineering experts to define schemas and event contracts; and deliver production-grade releases with observability and rollback. This role is software-leaning and science-facing: experience with pharmaceutical product development workflows, verification via vision/sensors, and data product thinking will help you translate scientist needs into robust orchestration. Help us accelerate life-changing therapies to patients with rare and ultra-rare diseases.
  • Translate scientist and operator requirements (throughput, usability, exception paths, reliability targets) into orchestration designs and software implementations.

  • Implement run-control logic (state models/events), exception handling, recovery/rollback, and scheduling for automated work cells and instruments.

  • Develop reusable drivers/adapters and interface modules aligned to documented contracts, coding standards, and versioning, review code, and tests for quality.

  • Integrate instruments/robots with schedulers and data services using interfaces and SDKs; partner with data engineering experts to define schemas and event models to support analytics and ML features.

  • Apply configuration-as-code, CI/CD, automated testing, and secure development practices; ship documented releases and migration guides.

  • Instrument workflows with telemetry/logs/alerts; define service level indicators and objectives for orchestration software; participate in postmortems and reliability exercises.

  • Produce onboarding artifacts (connectivity patterns, validation checklists, example configurations) and support operator UAT and day-2 enablement.

  • Support commissioning, cutovers, and hypercare for priority workflows; track reuse, commissioning time, error/rerun reduction, and uptime.

You will be responsible for:
  • Orchestration software components that meet reliability and usability targets across instruments and work cells.

  • Audit-ready data trails for setpoints, states, recipe steps, and analytical outputs; alignment to validation and security expectations.

  • High-quality documentation, release notes, and onboarding kits that enable repeatable adoption.

  • Continuous improvement of orchestration software reliability using telemetry and corrective actions.

You will need to have:
  • Education/experience: PhD + 0 years, or MS + 4 years, or BS + 8 years in Computer Science, Engineering, or a related field (or equivalent experience)-including 4+ years building software for lab or industrial automation or robotics, with hands on orchestration or controls integration.

  • Proficiency in one or more languages common in automation (for example, Python, C#, or Java) and experience with event-driven patterns and state machines.

  • Experience with interfaces, SDKs, and message buses; integrating with schedulers and data services; familiarity with schema design, data contracts, and basic SQL.

  • Collaboration with scientists/operators, mechatronics/controls, and data engineers; clear, user-focused documentation.

  • The duties of this role may require periodic work in a laboratory or manufacturing environment. As is typical of such roles, employees must be able, with or without an accommodation to: lift/carry 15/30 pounds unassisted/assisted; work comfortably in a controlled environment with and around hazardous materials; gown/degown PPE; use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours.

We would prefer for you to have:
  • Experience with biologics workflows (cell culture, purification, analytics) and integrating with ELN/LIMS/SDMS systems.

  • Hands-on work with robotics SDKs, verification via vision/sensors, barcode or RFID, or material-handling subsystems.

  • Familiarity with observability tooling (metrics/logs/alerts), defining service levels, and structured postmortems.

In person working statement:
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace, and challenge perceptions. That is why we work, on average, a minimum of four days per week from the office. We balance this expectation while respecting individual flexibility. Join us in our unique and ambitious world.
Date Posted
22-jun-2026
Closing Date
12-jul-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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