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Computer Vision Engineer Jobs in Illinois (NOW HIRING)

... of computer vision, machine learning, and generative AI within the automotive sector. With over ... We're looking for a Field Service Engineer to join our growing US Operations Team. In this hands-on ...

Strong systems engineering and V&V experience Core Skills - Autonomy Domain * LiDAR perception and ... Computer vision and deep learning * Sensor fusion (LiDAR, Camera, IMU, GNSS) * Path planning and ...

About the Role We're hiring a Forward Deployed Engineer to be our hands and eyes onsite at a key ... Familiarity with computer vision systems, IP cameras, or industrial IoT deployments is a plus.

AI Engineer

Peoria, IL · On-site

$75K - $110K/yr

AI Engineer Location: Peoria, IL Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or ... Familiarity with NLP, computer vision, reinforcement learning, and large language models (LLMs)

AI Engineer Location: Peoria, IL Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or ... Familiarity with NLP, computer vision, reinforcement learning, and large language models (LLMs)

Mobile App Developer position How often do you get the chance to make a global impact developing ... Reconstruct's Visual Command Center (VCC) uses AI and Machine Learning inside of computer vision to ...

Mobile App Developer position How often do you get the chance to make a global impact developing ... Reconstruct's Visual Command Center (VCC) uses AI and Machine Learning inside of computer vision to ...

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

AI Data Engineer Location: Moline,IL Pay Rate:USD$ 60 .00 $ 65 .00 /hr.with benefits Key ... computer vision, or other AI applications.

3D CAD Automation Engineer

Vernon Hills, IL · On-site

$80K - $100K/yr

Bachelor's degree in Engineering, Computer Science, or a related technical field (or equivalent ... Benefits include health care (medical, dental, vision) with coverage starting on first day of ...

AI Engineer Location: Peoria, IL Work Environment: IN-OFFICE ONLY (Peoria, IL) Not a remote or ... Familiarity with NLP, computer vision, reinforcement learning, and large language models (LLMs)

Experience developing and deploying computer vision systems for real-time applications, including ... Programming: Python, C/C++, PLC ladder logic (Siemens, Allen Bradley), HMI development * Motion ...

Develop and deploy computer vision systems for real-time applications, including camera calibration, lighting, and micron-level resolution * Collaborate across engineering, operations, and production ...

Faculte de genie / Faculty of Engineering Unit: EECS_ST Job Classification: Corrector (CUPE) Posting Type: Cours precis / Specific course Course Title: Learning-based Computer Vision Course Code:

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 ...

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Showing results 1-20

Computer Vision Engineer information

See Illinois salary details

$47K

$117.8K

$133.2K

How much do computer vision engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer vision engineer in Illinois is $117,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $127,400.00 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 the most commonly searched types of Computer Vision Engineer jobs in Illinois? The most popular types of Computer Vision Engineer jobs in Illinois are:
What job categories do people searching Computer Vision Engineer jobs in Illinois look for? The top searched job categories for Computer Vision Engineer jobs in Illinois are:
What cities in Illinois are hiring for Computer Vision Engineer jobs? Cities in Illinois with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $117,751 per year, or $56.6 per hour.
Software Engineer - SaaS Platform

Software Engineer - SaaS Platform

Reconstruct

Champaign, IL • On-site

Full-time

Re-posted 6 days ago


Job description

About the job: Software Engineer SaaS Platform

How often do you get the chance to make a global impact developing the latest AI inside of the built world? Reconstruct's Visual Command Center (VCC) uses AI and Machine Learning inside of computer vision to track the lifecycle of large capital assets like data centers, airports, hospitals, water treatment systems, etc. Come join our team with your talents as a Software Engineer SaaS Platform. Check us out at www.reconstructinc.com.

Must be able to come into the company office in Menlo Park, CA; Chicago, IL; or Champaign, IL.

Responsibilities

  • Program new features & writing tests on sprint tasks
  • Collaborate with your fellow engineers and product management team to design and deliver our 'best in class' software solution that tracks physical, capital assets with various forms of reality capture vs. their design
  • Partner with fellow engineers through pair programming, design reviews, and knowledge-sharing sessions and jointly own feature delivery from concept to production
  • Design, implement, and maintain scalable, secure, and high-performance backend and frontend components of the SaaS platform
  • Lead architecture decisions and contribute to system design documents, technical specs, and coding standards
  • Ensure infrastructure-as-code is in place for reliable, repeatable deployment in collaboration with DevOps
  • Address technical debt that may occur and proactively identify risks in the platform and assist with timely troubleshooting any complex customer issues that may occur

Skills & Qualifications

  • Bachelor's degree in Computer Science or related technical field
  • 5+ years of professional software engineering experience in a SaaS environment
  • Strong command of modern programming languages (e.g., Python, JavaScript)
  • Experience with front-end frameworks (e.g., Vue) and backend technologies (e.g., Node.js)
  • Proficiency in database design and management (SQL and NoSQL)
  • Familiarity with cloud platforms such as AWS, Azure, or OCI
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Solid grasp of CI/CD tools (e.g., GitLab CI)
  • Understanding of distributed systems, RESTful APIs, and microservices architecture
  • Excellent problem-solving skills and ability to navigate complex engineering trade-offs
  • Strong communication skills, both written and verbal & demonstrated ability to take ownership, lead technical projects, and work independently & collaboratively