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Computer Vision Engineer Jobs in Elgin, IL (NOW HIRING)

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

Working knowledge of signal processing, computer vision, and machine learning * Experience with any ... GPU programming * Hardware deep learning accelerators Applicants for this position must be ...

Engineer II, Software

Niles, IL

$98K - $134K/yr

Working knowledge of signal processing, computer vision, and machine learning * Experience with any ... GPU programming * Hardware deep learning accelerators Applicants for this position must be ...

Engineer II, Software

Niles, IL

$98K - $134K/yr

Working knowledge of signal processing, computer vision, and machine learning * Experience with any ... GPU programming * Hardware deep learning accelerators Applicants for this position must be ...

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

Working knowledge of signal processing, computer vision, and machine learning * Experience with any ... GPU programming * Hardware deep learning accelerators Applicants for this position must be ...

CAD Programmer

Schaumburg, IL · On-site

$28/hr

The CAD Programmer reviews work orders and procedural manuals to determine critical dimensions of ... Medical, dental, and vision coverage with affordable employee contribution rates. * 401(k) plan ...

The CAD Manager will partner with civil and structural project managers, project engineers ... Dental Insurance, Vision, Life Insurance, Short-Term, and Long-Term Disability * HSA & FSA ...

Senior AI/ML Solutions Engineer

Chicago, IL · On-site

$57 - $73.50/hr

... classification, computer vision). * Translate business requirements into scalable technical ... Work with data engineering teams to ensure robust data pipelines and features for AI models.

New

Every team member is laser-focused on growing the value of our scalable computer vision platform ... As a Field Project Engineer at OneTrack.ai, you will be crucial in executing service projects in ...

Daily collaboration with software engineers, metrology/vision engineers, customers, and vendors is ... Design and build end-of-arm tooling (EOAT) and end-effector components using CAD software, 3D ...

Daily collaboration with software engineers, metrology/vision engineers, customers, and vendors is ... Design and build end-of-arm tooling (EOAT) and end-effector components using CAD software, 3D ...

This role is a pathway to senior engineering management and technical leadership-your growth is ... RAG, Embeddings, Vectorization, Machine Learning, Computer Vision * Dev Tools : Swagger, Git

This role is a pathway to senior engineering management and technical leadership-your growth is ... RAG, Embeddings, Vectorization, Machine Learning, Computer Vision * Dev Tools : Swagger, Git

Senior Software Engineer

Chicago, IL · On-site

$235K - $310K/yr

This role is a pathway to senior engineering management and technical leadership-your growth is ... RAG, Embeddings, Vectorization, Machine Learning, Computer Vision * Dev Tools : Swagger, Git

Lead Software Engineer

Chicago, IL · On-site

$235K - $310K/yr

This role is a pathway to senior engineering management and technical leadership-your growth is ... RAG, Embeddings, Vectorization, Machine Learning, Computer Vision * Dev Tools : Swagger, Git

Description CAGE is a highly respected leader in civil engineering, surveying, and construction ... Medical, dental, and vision insurance (with HSA options) * Mental health resources & Employee ...

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Showing results 1-20

Computer Vision Engineer information

See Elgin, IL salary details

$47.9K

$120.1K

$135.9K

How much do computer vision engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for computer vision engineer in Elgin, IL is $120,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,200.00 and $130,000.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
What are popular job titles related to Computer Vision Engineer jobs in Elgin, IL? For Computer Vision Engineer jobs in Elgin, IL, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Elgin, IL look for? The top searched job categories for Computer Vision Engineer jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Computer Vision Engineer jobs? Cities near Elgin, IL with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in Elgin, IL as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $120,119 per year, or $57.7 per hour.
Engineer II, Software

Engineer II, Software

Shure

Niles, IL • On-site

$98K - $134K/yr

Full-time

Medical, Retirement, PTO

Posted 11 days ago


Job description

OverviewJoin Shure's Video and Emerging Data Technology team and help shape the next generation of intelligent audio, video, and collaboration solutions.  As an Engineer II, Software, you will play a critical role in transforming cutting-edge AI/ML research into scalable, production-ready technologies that power real-world products used by customers around the globe. From developing advanced machine learning models and data-driven systems to optimizing algorithms for deployment across cloud, edge, and embedded platforms, you'll work at the intersection of innovation and product development. Partnering closely with research scientists, signal processing engineers, data engineers, and cross-functional teams, you'll help bring emerging technologies from concept to commercialization while influencing the future direction of Shure's technology portfolio. This position will be hybrid, based out of our Niles, IL HQ.Responsibilities
  • Collaborate: work as part of a cross-functional team to create, design & implement cutting edge features and products
  • Ideate: brainstorm with research scientists and other stakeholders to identify use cases of value to Shure customers empowered by AI/ML and opportunities to optimize and platform solutions.
  • Conduct Research: survey literature and conduct original research and experiments to optimize implementation strategies and characteristics, solve problems, share findings and prototypes with colleagues, senior staff, and executives
  • Identify Software Requirements: in collaboration with AI/ML research scientists, other software engineers, and product managers. Identify and document architectural options and opportunities for platforming and reuse including working research scientists to standardize platformed solutions to frameworks and software deployments.
  • Implement Prototypes: software features in diverse areas from embedded (primary) to mobile apps, desktop, cloud, and database applications. Suggest subject-matter-relevant features and other software opportunities to enhance research scientists' chances of success (e.g. DSP approaches).
  • Develop Product Software Features: Implement, optimize, and test software applications and functionalities for real-time, semi-latent, and offline applications. Work with research scientists to identify and optimize input features, frame rates, model structures, and other characteristics that impact implementation characteristics.
  • Evaluate: Validate implemented AI/ML and other algorithm features: write software to automate measurement of AI and algorithmic features against defined metrics
  • Lead: Mentor, coach, and monitor the work of less experienced engineers.
  • Follow Coding Best Practices: Participate in code reviews and provide constructive feedback to peers.
  • Stay Current in Field: track progress in software methodologies, tools, and best practices
  • Participate in Working Groups: to promote collaborative problem solving in specific areas, sometimes tangential to your expertise
  • Design and Document Software Approach: in collaboration with team (or on own in independent projects) documented in collaborative systems
  • Invent: contribute to intellectual property, participate in brainstorming, and encourage general innovation in the group
Qualifications
  • Bachelor's degree in computer science, computer engineering or related field; with minimum 2 years of related experience OR Master's degree
  • Must have: Proficiency in C++
  • Proficiency in one or more other high level programing languages such as Python, Rust, Java, etc
  • Proficiency in software development principles, design patterns, and object-oriented design methodology, multi-thread real-time application.
  • Experience with embedded software development, Mac & PC application development, mobile apps, or cloud-based applications and services.
  • Working knowledge of signal processing, computer vision, and machine learning
  • Experience with any of the following highly desirable:
    • Real time video applications: processing, encoding, transmission, etc
    • Embedded Linux or AOSP development
    • GPU programming
    • Hardware deep learning accelerators

Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas.

WHO WE ARE

Shure's mission is to be the most trusted audio brand worldwide - and for over a century, our Core Values have aligned us to be just that. Founded in 1925, we are a leading global manufacturer of audio equipment known for quality, reliability, and durability. We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And quality doesn't stop at our products. Our talented teams strive for perfection and innovate every chance they get. We offer an Associate-first culture, flexible work arrangements, and opportunity for all.

Shure is headquartered in United States. We have more than 35 regional sales offices, engineering hubs, distribution centers and manufacturing facilities throughout the Americas, EMEA, and Asia.

Join Shure and Amplify Your Impact. Explore our unique culture and learn the key pillars that define our legacy of excellence.

THE MIX MATTERSDon't check off every box in the job requirements? No problem! We recognize that every professional journey is unique and are committed to providing an equitable candidate experience for all prospective Shure Associates. If you're excited about this role, believe you've got the skills to be successful, and share our passion for creating an inclusive, diverse, equitable, and accessible work environment, then apply!PAY TRANSPARENCYShure offers a competitive compensation structure that is reviewed annually to attract, hire, and retain the industry's top talent. Base salaries vary based on qualifications, geography, experience, and expertise in each respective discipline. The range displayed on each job posting reflects the minimum and maximum base salary for the opportunity. The base salary for this position ranges from $90,600 to $145,000. If your salary expectations do not align, still apply as we are often flexible on the seniority of posted positions. All positions also include an award-winning benefits package.

WE GOT YOU - Our BenefitsAt Shure, we prioritize the well-being of our Associates. We offer competitive rewards packages to full-time and part-time Associates working 24 or more hours a week that address physical, mental, financial, and overall well-being. Our benefits include comprehensive healthcare, mental health and retirement savings plans, generous paid time off programs, employee discounts, professional development opportunities, work-life balance initiatives, employee recognition programs, and volunteering/community involvement opportunities. To learn more, check out our Benefits At A Glance.

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Employment Type: FULL_TIME