1

Machine Vision Software Engineer Jobs in Kansas (NOW HIRING)

Senior Software Engineer

Olathe, KS · On-site

$118K - $156K/yr

Designs, develops, and maintains self-service Machine Learning Ops tooling, platforms, and ... Collaborates with Data Scientists, Software Engineers, and Infrastructure teams to reduce ...

Software Engineer You will improve applications built upon the Windows platform to support ... Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage ...

Software Engineer The Software Engineer is responsible for all stages of the software development ... Excellent medical with Rx, dental, and vision benefits * Mental Health support through EAP

Senior Sensor Algorithms Software Engineer

Olathe, KS · On-site

$118K - $156K/yr

Senior Sensor Algorithms Software Engineer We are seeking a full-time Senior Sensor Algorithms ... machine learning techniques. * Experience with attitude and heading reference systems (AHRS ...

Senior C# Software Engineer - Map Data

Olathe, KS · On-site

$118K - $156K/yr

Senior C# Software Engineer We are seeking a full-time Senior C# Software Engineer on our Map Data ... Experience using machine learning, statistical analysis, or data mining techniques to derive ...

About the Role As a Performance Software Engineer, you will serve as a technical leader for ... The benefits available for this position include medical, dental, vision, 401(k) plan, life ...

We are seeking a qualified Full Stack Software Engineer to develop and ensure our customers ... Medical, Dental, Vision, Life, and Disability Insurance * 401(k) Retirement Plan + Company Match

We are seeking a qualified Full Stack Software Engineer to develop and ensure our customers ... Medical, Dental, Vision, Life, and Disability Insurance * 401(k) Retirement Plan + Company Match

Senior Software Engineer

Overland Park, KS · On-site

$121K - $159K/yr

Lead the technical operations team of Software Engineers in managing maintenance of AssistRx ... Medical, dental, vision, life, & short-term disability insurance AssistRx, Inc. is proud to be an ...

The Software Engineer is responsible for all stages of the software development lifecycle using a ... Excellent medical with Rx, dental, and vision benefits * Mental Health support through EAP

The Software Engineer is responsible for all stages of the software development lifecycle using a ... Excellent medical with Rx, dental, and vision benefits * Mental Health support through EAP

Epiq is seeking a highly skilled AI Software Engineer to join our Operations Engineering team. This ... Translate vision into clear priorities * Prepare for disruptions with strong change management ...

The Software Engineer is responsible for all stages of the software development lifecycle using a ... Excellent medical with Rx, dental, and vision benefits * Mental Health support through EAP

The Software Engineer is responsible for all stages of the software development lifecycle using a ... Excellent medical with Rx, dental, and vision benefits * Mental Health support through EAP

next page

Showing results 1-20

Machine Vision Software Engineer information

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 are popular job titles related to Machine Vision Software Engineer jobs in Kansas? For Machine Vision Software Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Machine Vision Software Engineer jobs in Kansas look for? The top searched job categories for Machine Vision Software Engineer jobs in Kansas are:
What cities in Kansas are hiring for Machine Vision Software Engineer jobs? Cities in Kansas with the most Machine Vision Software Engineer job openings:
Senior Software Engineer

Senior Software Engineer

Garmin

Olathe, KS • On-site

$118K - $156K/yr

Other

Posted 16 days ago


Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

8th of 139 rated electronics manufacturers


Job description

Overview
We are seeking a full-time Senior Software Engineer at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will build the platforms, tooling, and infrastructure that enable scalable delivery of machine learning and large language model (LLM) capabilities across Garmin. You will partner closely with Data Scientists, Software Engineers, and Cloud/Infrastructure teams to develop self-service ML Ops solutions that reduce friction associated with model deployment, monitoring, reliability, and operational support. This is an opportunity for you to shape the future of AI enablement at Garmin by designing production-grade systems that improve the scalability, efficiency, and developer experience of enterprise AI/ML workflows.
Essential Functions
  • Designs, develops, and maintains self-service Machine Learning Ops tooling, platforms, and automation capabilities that improve the efficiency and scalability of machine learning model delivery
  • Implements and supports standardized CI/CD pipelines, model registries, deployment automation, and operational tooling for production AI/ML systems
  • Collaborates with Data Scientists, Software Engineers, and Infrastructure teams to reduce operational friction and improve the developer experience associated with model development and deployment workflows
  • Designs and implements monitoring, health check, observability, and alerting capabilities for production machine learning and LLM deployments
  • Researches and implements scalable infrastructure solutions for LLM deployment including autoscaling, dynamic routing, and cloud-based serving architectures
  • Serves in a leadership capacity as an individual contributor for carrying out software development in Python, Java, or other selected languages for new products and/or applications
  • May serve as a Lead Software Engineer for complex software development project designs and/or reviews architected modules and software systems supporting new technology or improving capability/performance of existing functionality
  • Decomposes functional requirements into well-defined tasks
  • Researches fundamental problems and implements algorithm solutions that are appropriate
  • Offers peer technical assessments in areas of expertise, new technologies and software designs
  • Participates in project leadership and/or program planning including providing technical input to product development plans and concept documents
  • Makes substantial contributions toward determination of project goal/objective feasibility and applies good judgment in setting schedules/risk taking
  • Mentors and provides guidance to less experienced Software Engineers (1 & 2)
  • Contributes to advanced technical research on new technologies
  • Offers process improvement suggestions and authors new procedures as appropriate
  • Provides reliable solutions to a wide range of difficult problems using sound problem solving techniques
  • Supports working hours as part of a rotating schedule to provide on call support of Garmin's 24/7 operations
Basic Qualifications
  • Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math, Physics or related field AND a minimum of 5 years relevant experience
  • Demonstrated proficiency with designing well architectured software systems and modules that support new technology or improve capability/performance of existing functionality
  • Demonstrated competence with researching fundamental problems and implementing appropriate algorithmic solutions
  • Demonstrated ability to serve as a lead software engineer for a complex software project
  • Ability to decompose functional requirements into well-defined tasks while balancing quality, quantity, and complexity in work output
  • Demonstrated capability to offer peer technical assessments in areas of expertise, new technologies and software designs
  • Mastered proficiency in writing software in C, C++, C# or Java and relevant experience and/or training in data structures or object-oriented design methodology
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be positive, detail oriented, organized, team oriented and a driven problem solver, multi-tasker, and self-starter with the ability to prioritize and lead in a fast paced, deadline-driven environment
Desired Qualifications
  • Experience developing and supporting containerized and distributed systems using technologies such as Docker, Kubernetes, Helm, and cloud-native deployment platforms
  • Familiarity with GPU-enabled infrastructure, accelerated compute environments, and scalable inference architectures supporting machine learning and large language model (LLM) workloads
  • Experience working with cloud compute and storage platforms such as Microsoft, including deployment automation, networking, and infrastructure management
  • Knowledge of ML Ops and DevOps tooling including CI/CD pipelines, infrastructure-as-code, model deployment workflows, observability platforms, and operational monitoring solutions
  • Familiarity with modern machine learning frameworks, model serving technologies, and artifact management solutions such as PyTorch, Hugging Face, MLflow, or similar technologies
  • Experience developing automation and self-service tooling using Python, REST APIs, scripting frameworks, and cloud based orchestration technologies

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

What Garmin employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom