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Vision Engineer Jobs in New York (NOW HIRING)

We have developed a fully integrated grab-and-go retail store enabled by computer vision, which we are now deploying with major brands around the world. We are looking for engineers and data ...

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Senior Full Stack Engineer

New York, NY · Remote

$166K - $215K/yr

Collaborate closely with machine learning/vision engineers, LLM domain experts, and our integrations team: Our platform relies on complex integrations with third-party systems, extensive data ...

Senior Full Stack Engineer

New York, NY · On-site

$166K - $215K/yr

Collaborate closely with machine learning/vision engineers, LLM domain experts, and our integrations team: Our platform relies on complex integrations with third-party systems, extensive data ...

Showing results 21-40

Vision Engineer information

See New York salary details

$41.6K

$126.8K

$209.5K

How much do vision engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for vision engineer in New York is $126,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $165,700.00 per year, depending on experience, location, and employer.

What is a vision engineer?

Vision Engineers are professionals who design, develop, and implement computer vision systems that enable machines to interpret and understand visual information from the world. They work with image and video processing algorithms, deep learning models, and hardware such as cameras and sensors to solve problems in areas like robotics, autonomous vehicles, and quality inspection. Vision Engineers often collaborate with software developers, data scientists, and hardware engineers to create solutions that can recognize objects, track movements, or analyze scenes automatically.

How does a vision engineer typically collaborate with other engineering teams during a project?

Vision Engineers often work closely with software developers, hardware engineers, and data scientists to integrate computer vision solutions into larger systems. Collaboration usually involves sharing specifications, aligning on data formats, and frequent meetings to ensure seamless interaction between visual algorithms and system hardware or applications. Effective communication and cross-disciplinary teamwork are essential, as vision models must be optimized for real-time performance and reliability within the constraints of the broader product.

What are the key skills and qualifications needed to thrive as a vision engineer, and why are they important?

To thrive as a Vision Engineer, you need a strong background in computer vision, image processing, and programming languages such as Python or C++, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), OpenCV, and experience with camera systems or embedded hardware are typically required. Analytical thinking, problem-solving, and the ability to communicate complex technical concepts clearly are standout soft skills. These abilities are crucial for developing robust vision solutions that drive innovation in industries such as robotics, automotive, and manufacturing.

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

AspectVision EngineerComputer Vision Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with image processing and sensor integrationBachelor's or higher in computer science, AI, or related fields; strong programming skills in Python, C++, and experience with machine learning
Work EnvironmentResearch labs, robotics companies, manufacturing, automotiveTech companies, AI startups, robotics, healthcare imaging
Industry UsageUsed in robotics, automation, and sensor systemsApplied in AI, autonomous vehicles, medical imaging, and surveillance

While both roles focus on visual data, a Vision Engineer typically works on integrating sensors and hardware for vision systems, whereas a Computer Vision Engineer develops algorithms and software for interpreting visual data. The roles often overlap but differ mainly in hardware versus software focus.

What does a vision engineer do?

A vision engineer designs, develops, and tests computer vision systems and algorithms used in applications like robotics, autonomous vehicles, and image processing. They work with tools such as MATLAB, OpenCV, and machine learning frameworks, often requiring knowledge of programming, image analysis, and sensor integration.
Infographic showing various Vision Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $126,760 per year, or $60.9 per hour.

Software Engineer

DeepMagic

Manhattan, NY • On-site

Full-time

Re-posted 10 days ago


Job description

Company Description
DeepMagic is a one-year old start-up revolutionizing retail transactions using computer
vision and AI. We have developed a fully integrated grab-and-go retail store enabled by
computer vision, which we are now deploying with major brands around the world.
We are looking for engineers and data scientists who are excited about leading the
transformation of retail and transaction into a new reality of unattended grab-and-go
point of sale and who would like to join a team experienced and passionate colleagues
in engineering, product development, and research.
Job Description
  • Act as the primary point of contact for integration of software elements
  • Interface with software team and in Mexico (includes backend, web-portal, and app development)
  • Work with AI and computer vision developers to integrate core technology into platform
  • Integrate IoT devices and embedded software elements
  • Maintain servers, cloud infrastructure, and development tool chain
  • Interface with IoT hardware team, support deployment activities

Qualifications
  • Degree in Computer Science
  • Experience with cloud-based development and production environments like Google Cloud or AWS
  • Prior programing experience in Python and/or C++
  • Prior experience with Linux
  • Experience with Google Cloud and Google Cloud toolchain, Kubernetes and Spinnaker
  • Experience with embedded systems and machine learning programing
  • platforms including TensorFlow, PyTorch etc

Additional Information
All your information will be kept confidential according to EEO guidelines.
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