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Computer Vision Engineer Jobs in Vermont (NOW HIRING)

Signify

Lead Development Engineer

Burlington, VT

$154K - $172K/yr

Master's degree in Computer Science, Computer Engineering, Information Systems, or a closely ... vision insurance and Accidental Death & Dismemberment insurance, health care flexible spending ...

Genlyte Group

Lead Development Engineer

Burlington, VT · On-site

$154K - $172K/yr

Master's degree in Computer Science, Computer Engineering, Information Systems, or a closely ... vision insurance and Accidental Death & Dismemberment insurance, health care flexible spending ...

Benchmark Space Systems

Electrical Engineer

Burlington, VT · On-site

$100K - $130K/yr

Vision and dental insurance. * Company paid life, AD&D, and disability insurances. * Employee ... computer use. Benchmark Space Systems is an equalopportunity employer committed to fostering an ...

Benchmark Space Systems

Electrical Engineer

Burlington, VT · On-site

$100K - $130K/yr

Vision and dental insurance. * Company paid life, AD&D, and disability insurances. * Employee ... computer use. Benchmark Space Systems is an equal opportunity employer committed to fostering an ...

Polhemus

Be Seen First

Software Engineer

Colchester, VT · On-site

$60K - $80K/yr

Bachelor's degree in computer science or equivalent * 5+ years' experience in software development using configuration management tools * Proficient in C++ and C * Experience in Windows programming ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Vermont

Computer Vision Engineer information

See Vermont salary details

$51.6K

$129.2K

$146.2K

How much do computer vision engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for computer vision engineer in Vermont is $129,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,600.00 and $139,800.00 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.
More about Computer Vision Engineer jobs
What are popular job titles related to Computer Vision Engineer jobs in Vermont? For Computer Vision Engineer jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Vermont look for? The top searched job categories for Computer Vision Engineer jobs in Vermont are:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Vermont as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $129,202 per year, or $62.1 per hour.
ASIC Design Verification Engineer (Remote )

ASIC Design Verification Engineer (Remote )

Encore Semi, Inc.

Burlington, VT • Remote

$120K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

ASIC Verification Engineer
Full-time: Salary + Benefits + Bonuses / Contractor
Work Status: US Citizen or Lawful Permanent Resident.
Location: Remote, anywhere in USA
We're seeking a team of mid-level ASIC Verification Engineer to lead verification efforts for next-generation networking and AI accelerator SoCs. In this role, you'll define verification strategies, develop scalable UVM-based environments, drive coverage closure, and ensure high-quality silicon delivery through close collaboration with design, software, emulation, and validation teams.
What You'll Do
  • Lead end-to-end ASIC/SoC verification from planning through coverage and signoff.
  • Build and enhance UVM/SystemVerilog verification environments at block, subsystem, and SoC levels.
  • Create verification plans, develop testcases, execute regressions, and resolve RTL issues.
  • Work cross-functionally with ASIC design, hardware, and post-silicon teams to achieve first-pass silicon success.
  • Mentor engineers, promote verification best practices, and leverage AI-driven tools to improve productivity.

What You'll Bring
  • 4+ years of ASIC/SoC verification experience using SystemVerilog, UVM, VCS, and Verdi (or similar tools).
  • Strong expertise in complex SoC verification, including multi-clock and reset-domain designs.
  • Experience developing verification environments from the ground up.
  • Knowledge of Git/SVN and scripting languages such as Python, Tcl, Perl, or Shell.
  • Proven experience verifying high-speed networking technologies, including 50G/100G/400G Ethernet MAC/PCS, TCP/IP, UDP, RDMA/RoCE, or IPsec.
  • Bachelor’s degree in electrical engineering, Computer Engineering, Computer Science, or a related field (Master's preferred).

The anticipated annual base salary for this position is between $120,000 to $135,000, which also includes a comprehensive benefits package.
Full-Time Benefits:
• 15 days of PTO per calendar year
• 10 paid Holidays per calendar year
• Comprehensive Medical Benefits: Company covers 80% of premiums for Employee and Dependents
• Dental & Vision: Company covers 50% of premiums for Employee and Dependents
• Voluntary Benefits: Life Insurance, FSA (Health and Dependent, Limited Purpose), HAS, and Gap Insurance
• Employee Assistant Program (EAP)
• 401k - Traditional & Roth
• Life/AD&D and Long-Term Disability
• Tuition reimbursement
Equal Opportunity Policy Statement
Encore Semi, Inc. is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, religion, creed, color, age, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, ancestry, marital status, civil union status, medical condition, disability (mental and physical), military and veteran status, pregnancy, childbirth and related medical conditions, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
Encore Semi is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
LinkedIn :: https://www.linkedin.com/in/rtl2gds/