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Machine Vision Software Engineer Jobs in Star, ID

Scentsy Inc

Data Engineer

Meridian, ID · On-site

$108K - $129K/yr

... software engineering practices across the development lifecycle * Test reporting solutions and ... Experience with AWS Services like AWS Quick, Cloud Formation, S3, Glue, State Machine, Lambda ...

Scentsy

Data Engineer

Meridian, ID · On-site

$108K - $129K/yr

... software engineering practices across the development lifecycle * Test reporting solutions and ... Experience with AWS Services like AWS Quick, Cloud Formation, S3, Glue, State Machine, Lambda ...

Scentsy Inc

Data Engineer

Meridian, ID · On-site

$108K - $129K/yr

... software engineering practices across the development lifecycle * Test reporting solutions and ... Experience with AWS Services like AWS Quick, Cloud Formation, S3, Glue, State Machine, Lambda ...

Micron

AI Full Stack Engineer

Boise, ID · On-site

Our vision is to transform how the world uses information to enrich life for all . Micron ... Strong foundation in full stack software engineering fundamentals, including objectoriented design ...

Micron

AI Full Stack Engineer

Boise, ID · On-site

Our vision is to transform how the world uses information to enrich life for all . Micron ... Strong foundation in full stack software engineering fundamentals, including objectoriented design ...

Micron Technology

AI Full Stack Engineer

Boise, ID · On-site

Our vision is to transform how the world uses information to enrich life for all. Micron Technology ... Conduct requirements gathering and analysis to understand software domains, interfaces, and ...

Micron

AI Full Stack Engineer

Boise, ID · On-site

Our vision is to transform how the world uses information to enrich life for all . Micron ... Strong foundation in full stack software engineering fundamentals, including objectoriented design ...

Micron Technology

AI Full Stack Engineer

Boise, ID · On-site

Our vision is to transform how the world uses information to enrich life for all. Micron Technology ... Conduct requirements gathering and analysis to understand software domains, interfaces, and ...

Micron

Staff Machine Learning Engineer

Boise, ID · On-site

Our vision is to transform how the world uses information to enrich life for all . Micron ... Do you dream in data science and machine learning models? If so, we want you to join us! Our ...

SynergisticIT

Junior Java/C++ Developer with Cloud

Nampa, ID · On-site

$62K - $80K/yr

... or software programming * Spring boot, microservices and REST API's experience * Excellent written and verbal communication skills Required skills for data science/machine learning: * Bachelors ...

Simplot

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

... machinery within a manufacturing facility is ideal but not required. * Experience delivering data solutions through agile software development methodologies is ideal but not required. * Experience ...

J.R. Simplot Company

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

... machinery within a manufacturing facility is ideal but not required. * Experience delivering data solutions through agile software development methodologies is ideal but not required. * Experience ...

Simplot Company

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

... machinery within a manufacturing facility is ideal but not required.Experience delivering data solutions through agile software development methodologies is ideal but not required.Experience with ...

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All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in Star, ID

Machine Vision Software Engineer information

See Star, ID salary details

$59.8K

$138.8K

$193.4K

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

As of Jul 3, 2026, the average yearly pay for machine vision software engineer in Star, ID is $138,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $162,800.00 per year, depending on experience, location, and employer.

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 cities near Star, ID are hiring for Machine Vision Software Engineer jobs? Cities near Star, ID with the most Machine Vision Software Engineer job openings:
Machine Vision Software Engineer jobs near you

Senior Software Engineer, Windows/Desktop Applications - Boise, ID, USA

Speechify

Boise, ID • On-site

Other

Posted 22 days ago

Job description

Mission

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies

What You'll Do
  • Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and - when needed - C++.
  • Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability.
  • Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities.
  • Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform.
  • Take ownership of full lifecycle of features: conception design implementation testing release maintenance. Ensure quality, reliability, and consistency across releases.
  • Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems - and propose robust architectural or design solutions.
 
An ideal candidate should have

Required:

  • 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML - and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
  • Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
  • Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
  • Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
  • Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
  • Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
  • Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
  • A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

  • Experience with writing automated tests for UI - unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
  • Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
  • Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
  • Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
  • Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
  • Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

  • A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
  • A collaborative, flat-structure engineering culture - you are not just a coder, but a builder and a decision-maker.
  • Opportunities to lead - mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
  • Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
  • A purpose-driven mission: building software that's reliable, accessible, and user-centered - making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience             

Think you're a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Apply