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Machine Vision Software Engineer Jobs in Connecticut

The Hartford

Staff Software Engineer - AI

Hartford, CT

$127K - $191K/yr

Design and develop machine learning techniques that allow agents to learn from experience and adapt ... Experience withnatural language processing (NLP),computer vision, orreinforcement learning.

The Walt Disney Company

Sr Software Engineer

Bristol, CT

$122K - $161K/yr

... vision and machine learning (ML ) workflows. Our team develops and manages a diverse suite of ... Leveraging modern software engineering practices and cloud infrastructure, you will build robust ...

The Walt Disney Company

Sr Software Engineer

Bristol, CT

$122K - $161K/yr

... vision and machine learning (ML ) workflows. Our team develops and manages a diverse suite of ... Leveraging modern software engineering practices and cloud infrastructure, you will build robust ...

BlueCrest

Principal Software Engineer

Danbury, CT · On-site

$137K - $184K/yr

We are seeking a Software Engineer to join our highly dynamic team developing machine control solutions for our high-performance mailing solutions. We are looking for high energy team players with ...

Medtronic

Principal Software Engineer

North Haven, CT

$134K - $180K/yr

... machining, metal finishing, assembly, and related processes. This role develops and maintains ... Health, Dental and vision insurance,Health Savings Account,Healthcare Flexible Spending Account ...

Medtronic

Principal Software Engineer

North Haven, CT

$134K - $180K/yr

... machining, metal finishing, assembly, and related processes. This role develops and maintains ... Health, Dental and vision insurance,Health Savings Account,Healthcare Flexible Spending Account ...

Empower

Software Engineer

Hartford, CT · On-site

$96K - $135K/yr

Our vision for the future is based on the idea that transforming financial lives starts by giving ... The Software Engineer will design, develop, test, and maintain software applications throughout the ...

NBCUniversal

Software Engineer

Stamford, CT · Hybrid

About the role As our Software Engineer, you'll join the Content Delivery Engineering team (CDE ... This position is eligible for company sponsored benefits, including medical, dental, and vision ...

NBCUniversal

Software Engineer

Stamford, CT · Hybrid

About the role As our Software Engineer, you'll join the Content Delivery Engineering team (CDE ... This position is eligible for company sponsored benefits, including medical, dental, and vision ...

Leonardo DRS

Software Engineer II

Danbury, CT · On-site

Job Summary We are seeking a Software Engineer with 2-5 years of embedded development experience to ... vision coverage, a company contribution to a health savings account, telemedicine, life and ...

Leonardo DRS

Software Engineer II

Danbury, CT · Hybrid

Job Summary We are seeking a Software Engineer with 2-5 years of embedded development experience to ... vision coverage, a company contribution to a health savings account, telemedicine, life and ...

Labcorp

Senior Software Engineer

Bloomfield, CT

$122K - $161K/yr

Labcorp is seeking a Senior Software Engineer to join our team at our 1302 Hall Boulevard location ... Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO ...

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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

Staff Software Engineer - AI

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

$127K - $191K/yr

Full-time

Re-posted 6 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

58th of 300 rated insurance

Job description

Senior Staff Software Engineer - IE07HE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Position Overview
We are seeking a highly motivated, visionary and technically accomplished AI engineer/Software developer to join our team and lead the design, development, deployment, and adoption of AI and machine learning solutions. This role will focus on building agentic AI systems, generative AI workflows, and scalable data platforms that power intelligent decision-making across the enterprise. The ideal candidate will possess deep expertise in AI/ML, software engineering, quality engineering, and cloud-native architectures, with a passion for solving complex problems using cutting-edge technologies.
Key Responsibilities
  • Develop Algorithms that enable AI agents to perform tasks without step-by-step instructions.
  • Design and implement agentic AI systems capable of autonomous decision-making, learning from experience, and adapting to dynamic goals and contexts
  • Design and develop multi-agent frameworks using tools such as LangGraph, Crew AI, or Semantic Kernel to orchestrate intelligent workflows.
  • Design and develop machine learning techniques that allow agents to learn from experience and adapt over time.
  • Translate business requirements into agentic AI solutions.
  • Collaborate with data scientists, software engineers, business stakeholders, and product teams to integrate AI solutions into production systems.
  • Conduct context and prompt engineering using zero-shot, few-shot, and chain-of-thought techniques to enhance model performance and relevance.
  • Optimize agents based on different models for performance, scalability, and accuracy.
  • Ensure ethical AI practices and compliance with data privacy regulations.
  • Document processes, models, and code for transparency and reproducibility.
  • Conduct research and stay up to date with the latest advancements in AI/ML technologies.

AI-Driven Testing & Innovation
  • Evaluate, implement, and scale AI-powered testing tools (e.g., self-healing automation, test generation, predictive defect analytics).
  • Leverage machine learning and generative AI to improve:
  • Test case generation
  • Test data creation
  • Defect prediction and triaging
  • Root cause analysis
  • Drive adoption of intelligent test automation frameworks and autonomous testing strategies.

Collaboration & Stakeholder Management
  • Partner with Product Managers, Architects, and Engineering leaders to embed quality early in design.
  • Partner with Product Managers, Architects, Engineering leaders, and RTEs
  • Communicate status, risks, and improvements to leadership
  • Influence enterprise adoption of modern Engineering practices across multiple teams and programs.

Required Skills & Experience
  • Proficiency in programming languages such as Python, Java, or C++.
  • UI/End to End Test Automation with Playwright
  • Performance Load testing
  • Strong foundation in AI/ML algorithms, data structures, software & quality engineering principles.
  • Understanding of cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions.
  • Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker for CI/CD).
  • Solid knowledge of data structures, algorithms, and software engineering principles.
  • Experience with agent orchestration, LLMOps, and model lifecycle management, vector search, information retrieval, graph algorithms and knowledge graph.
  • Experience with version control systems (e.g., Git).
  • Familiarity with agent orchestration platforms and enterprise integration.
  • Strong problem-solving skills and ability to work independently and collaboratively.

Preferred Skills & Experience
  • Experience with natural language processing (NLP), computer vision, or reinforcement learning.
  • Knowledge of generative AI and foundation models (e.g., Gemini, Claude).
  • Experience with real-time inference systems and edge AI.
  • Background in mathematics, statistics, or computational neuroscience.
  • Understanding of LLM (Large Language Model) & LRM (Large Reasoning Model)
  • Understanding of AI ethics, bias mitigation, and explainable AI.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$127,600 - $191,400
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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Benefits

Hours and flexibility

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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