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Computer Vision Engineer Jobs in Boston, MA (NOW HIRING)

ASUS

Senior Computer Vision Engineer

Boston, MA

$164K - $237K/yr

The ASUS Robotics & AI Center is seeking a Senior Computer Vision Engineer to join our global research and development team. This role focuses on building theperceptionsystems that allow our UAVs and ...

ITW Instron

Senior Machine Vision Engineer

Norwood, MA

$140K - $160K/yr

Degree in Physics, Mechatronics, Mechanical, Electrical, Computer or Software Engineering with 7-10 years of experience in the design, development and launch of vision products. * Machine vision ...

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

If you are a perception or computer vision engineer with a passion for solving complex automation challenges, we encourage you to apply and become a key part of our innovative team. Position Overview:

Apply Early

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

If you are a perception or computer vision engineer with a passion for solving complex automation challenges, we encourage you to apply and become a key part of our innovative team. Position Overview:

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Boston, MA

Computer Vision Engineer information

See Boston, MA salary details

$52.7K

$132K

$149.4K

How much do computer vision engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for computer vision engineer in Boston, MA is $132,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $142,900.00 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 the most commonly searched types of Computer Vision Engineer jobs in Boston, MA? The most popular types of Computer Vision Engineer jobs in Boston, MA are:
What are popular job titles related to Computer Vision Engineer jobs in Boston, MA? For Computer Vision Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Boston, MA look for? The top searched job categories for Computer Vision Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Computer Vision Engineer jobs? Cities near Boston, MA with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 40% Full Time, 50% Part Time, and 10% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $132,007 per year, or $63.5 per hour.

Senior Computer Vision Engineer

ASUS Computer International

Boston, MA • On-site, Remote

$164K - $237K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Description
Job Description Overview:
The ASUS Robotics & AI Center is seeking a Senior Computer Vision Engineer to join our global research and development team. This role focuses on building the perception systems that allow our UAVs and other autonomous platforms to understand and operate in complex, real-world environments.
We are looking for a hands-on engineer with practical experience taking computer vision algorithms from prototype to production, a strong foundation in 3D geometry and multi-sensor data, and a passion for making the math, the algorithms, and the code work together on real hardware. The ideal candidate thrives at the intersection of computer vision, robotics, and embedded systems, and is motivated by the challenge of delivering robust perception under the constraints of real-world autonomy.
Essential Duties and Responsibilities:
  • Design, implement, and optimize computer vision algorithms for object detection, tracking, and visual recognition on UAVs and other autonomous platforms.
  • Develop 3D perception capabilities, including visual odometry, depth estimation, structure from motion, and SLAM, to support real-time mapping and navigation.
  • Build sensor fusion pipelines that integrate data from cameras, IMUs, GPS/GNSS, and other onboard sensors to produce accurate, low-latency situational awareness.
  • Optimize algorithms for deployment on resource-constrained edge and embedded compute platforms.
  • Characterize and quantify the performance of perception components through simulation, lab testing, and real-world field testing.
  • Collaborate with robotics, software, and hardware teams to integrate perception components into the broader autonomy stack.
  • Write clean, maintainable, and well-documented source code adhering to modern software development practices.
  • Work in a cross-functional team that takes ownership of the full software lifecycle.

Knowledge and Skills:
  • Familiarity with classical computer vision techniques and libraries (e.g., OpenCV) and with multi-sensor data integration (e.g., cameras, IMU, GPS/GNSS, LiDAR).
  • Strong fundamentals in linear algebra, probabilistic inference, and 3D geometry.
  • Proficiency in C++ and Python, with a commitment to writing clean, well-architected code.
  • Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.
  • Experience deploying perception software on embedded or edge compute platforms (e.g., NVIDIA Jetson) is strongly preferred.
  • Experience with robotics, autonomous systems, or real-time perception applications is a plus.
  • Familiarity with GPU/CUDA programming for accelerated vision processing is a plus.
  • Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week.
  • Excellent written and verbal communication skills.
  • Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required

Required Qualifications:
Years of Education
  • Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.

Work Experience
  • 5+ years of industry experience developing and deploying computer vision or perception software.
  • Hands-on experience with one or more of: visual odometry, SLAM, structure from motion, multi-view geometry, or 3D reconstruction.
  • Practical experience with object detection, tracking, or segmentation, including training and deploying deep learning models using frameworks such as PyTorch or TensorFlow.

Working Conditions:
  • Typically working in an office environment
  • This is an IN-OFFICE position in Boston, MA (3 days in office / 2 days work from home)
  • Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time
  • Travel requirements: 10% travel, domestic/international

$164,000 - $237,000 annually is the estimated pay range for this role working in Boston, Massachusetts office. The final amount will be determined based on qualifications & experience of the candidate relative to the role. Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D insurance, Paid Time Off, EAP, & 401(k).
ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment.
About the ASUS Robotics & AI Center
The ASUS Robotics & AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.
More About ASUS
ASUS is a global technology leader that provides the world's most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&D experts, the company is world-renowned for continuously reimagining today's technologies. Consistently ranked as one of Fortune's World's Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net-zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.

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