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

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

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 ...

Embedded Software Engineer

Mundelein, IL

$134K - $176K/yr

Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... Edge engineering is responsible for the hardware and software orchestrating the hardware installed ...

... computer vision, intelligent automation and data-driven insights. The product combines vehicle ... Work closely with engineering, software and field operations teams to coordinate successful ...

New

Survey CAD Technician

Lisle, IL · On-site

$70K - $90K/yr

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 ...

Full Stack/Java Developer(REMOTE)

Chicago, IL · On-site

$54 - $69.75/hr

Recent computer science/engineering/mathematics/statistics or science graduates looking to make ... Knowledge of statistics, SAS, Python, computer vision, data visualization tools * Excellent written ...

CAD Specialist II

Rosemont, IL · On-site

$76K - $95K/yr

Honeywell UOP Engineering is looking for a CAD Specialist II to work within the Engineering ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

Honeywell UOP Engineering is looking for a CAD Specialist II to work within the Engineering ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

Honeywell UOP Engineering is looking for a CAD Specialist II to work within the Engineering ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

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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 1, 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 June 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $120,119 per year, or $57.7 per hour.
Senior Software Engineer

Senior Software Engineer

McMaster-Carr

Chicago, IL • On-site

$235K - $310K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


McMaster-Carr rating

9.6

Company rating: 9.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

2nd of 351 rated retail wholesalers


Job description

About the job
Who We Are
McMaster-Carr is a leading e-commerce company that industrial customers have trusted for more than 120 years. Our products help customers restore manufacturing lines quickly, keep operations running smoothly, and prototype the next generation of innovative products.
We earn that trust by offering the right products, making them easy to find, and delivering them fast--so customers can solve problems with speed, precision, and confidence. This role is a pathway to senior engineering management and technical leadership-your growth is determined by your impact, not by tenure.
Our Culture
We intentionally cultivate a culture focused on clear execution and long-term growth. We are responsible for building systems that endure for decades and support the company's long-term growth. That responsibility means engineering work starts with a deep understanding of the problem and its impact, grounded in clear ownership, open communication, and direct feedback. Our teams are trusted to make thoughtful decisions about how work gets done, balancing a high bar for quality with practical execution. As an engineering leader here, you'll have significant autonomy with end-to-end ownership where you make product decisions while building things real people interact with directly.
How You'll Make An Impact
Our engineering teams operate within domains: distinct, high-impact areas of our platform that let engineers dive deep, build expertise, and release work that matters. Right now, we're actively growing in the following areas:
  • McMaster.ai: Build and scale our domain-expert AI assistant that turns McMaster's product data and customer history into a continuously learning assistant-interpreting intent, narrowing options, explaining tradeoffs, and carrying context across sessions to make complex industrial work feel effortless.
  • Customer Navigation: build and evolve the systems that help our customers find, evaluate, and understand millions of industrial products across our digital publications, including improving search relevance with LLMs and simplifying navigation across our product offering.
  • Order-to-Payment Flow: design and evolve end-to-end ordering experiences that reduce friction from checkout to mobile ordering.
  • Product Merchandising: strengthen the internal platforms that power sourcing, inventory planning, receiving, and supplier relationships, helping the company make disciplined investments and scale responsibly.
  • Fulfillment & Automation: lead development of software that integrates with warehouse operations, fulfillment, delivery, and customer service to reduce manual work and get orders to customers faster.

What You'll Do
  • The first 30 days are about learning with purpose: understanding our goals, getting a clear picture of the customer journey, and building fluency in the codebase. As you onboard, you'll design and implement features that are small enough to help you ramp quickly, but substantial enough to matter.
  • After you've delivered your first features, you'll start taking on less-defined challenges where you'll sharpen requirements and produce thoughtful, durable solutions that meaningfully improve the customers experience. In doing so, you'll create clarity and momentum that enables you and your teammates to deliver exceptional experiences.

What You Bring
  • 4+ years of professional fullstack or backend software engineering experience (see our Software Engineer II role for earlier career experience)
  • Experience in delivering proof-of-concepts and resilient production systems, contributing from early research and architectural design to development, launch, and iterative refinement.
  • Ability to write high-quality, maintainable, and scalable code with Systems Design and SOLID principles.
  • Experience improving system architecture, testing, and monitoring to ensure reliability and performance.
  • A commitment to developing others; using code reviews, coaching, and shared best practices to help the team deliver its best work.
  • Ability to collaborate cross-functionally with operations, product, and UX teams to ensure business value and user impact.
  • A track record of designing platforms and customer experiences that will endure over years while remaining close to the details of execution.

Technologies We Use
  • Backend: NET, .NET 10, ASP.NET Core, C#, Python
  • Frontend: React, Typescript, JavaScript, CSS
  • Database: MongoDB, Elasticsearch, SQL, Db2, Redis
  • Testing: Selenium, Playwright, Xunit, Jest
  • Infrastructure: Kubernetes, Jenkins, Gitlab, Azure, Linux, VMWare, IIS
  • LLMs: OpenAI, Copilot, Claude, Gemini, Grok, perplexity, deepseek
  • Applied AI: RAG, Embeddings, Vectorization, Machine Learning, Computer Vision
  • Dev Tools: Swagger, Git
  • Messaging /Data Streaming: Kafka, MQ

Cash Compensation
  • Total cash compensation is generally around $235,000 to $310,000 and includes a profit sharing based on company profitability.
  • You will also receive a relocation stipend (if applicable) and signing bonus.

Benefits
Growth & Learning
  • 100% tuition reimbursement
  • Informal and formal mentorship
  • Employee resource groups

Health & Wellbeing
  • Medical, dental, pharmacy, and vision plans with no monthly premiums
  • Inclusive, all-gender benefits

Family & Future
  • Paid parental leave for all new parents
  • Adoption and surrogacy assistance
  • First-time home buyer assistance
  • Industry-leading company-funded retirement accounts

Time Off
  • Paid vacation and personal time

Who You Are
We're looking for curious, driven engineers who thrive in collaborative environments and love solving hard problems. Ideal candidates will have:
  • Experience designing and delivering large-scale, service-oriented systems.
  • Strong proficiency in compiled languages such as C#, Java, C++, or Rust.
  • A thoughtful, analytical approach to problem-solving and software design.
  • Clear, confident communication skills across technical and non-technical audiences.
  • Interest in mentoring, coaching, and growing as a leader.

Equal Opportunity Employer
We are proud to be an Equal Opportunity Employer and dedicated to providing employees a workplace with reasonable accommodations and free of discrimination, harassment, and retaliation. At McMaster-Carr, we do not make employment decisions based on age, ethnicity, citizenship status, military status, gender identity and expression, race, religion, disability status, marital status, sexual orientation, or any other legally protected group.
This position is not eligible for work authorization sponsorship by McMaster-Carr.
Data We Collect
We may collect professional, education and employment-related data, and any assessments made throughout the recruiting process, to evaluate candidacy for employment. To communicate with job applicants, we may collect applicant names, contact information, and other personal identifiers, including those outlined in the California customer records statute. Through voluntary disclosure, we may also collect protected classifications under federal or California law (e.g., race, gender, etc.). For additional details about the personal information we collect and its uses, please click here.