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Computer Vision Research 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 ...

Tufts Medicine

Research Assistant I

Boston, MA · On-site

$21 - $29/hr

The Gnanaguru Lab at Center for Vision Research, Tufts Medical Center/Tufts School of Medicine ... Excellent written and oral communication skills. 2. Strong computer skills, including proficiency ...

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Computer Vision Research information

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How much do computer vision research jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for computer vision research in Boston, MA is $24.14, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $25.87 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Computer Vision Research?

One of the main challenges in Computer Vision Research is dealing with the complexity and variability of real-world data, such as inconsistent lighting, occlusions, or image noise, which can make model development and testing difficult. Researchers also frequently need to stay updated with rapidly evolving algorithms and technologies while managing computational resource constraints. Collaboration with interdisciplinary teams and conveying technical findings to non-experts are important and sometimes challenging aspects of the job. Overcoming these challenges is essential for driving innovation and bringing cutting-edge vision applications to practical use.

What are the key skills and qualifications needed to thrive in the Computer Vision Research position, and why are they important?

To thrive in Computer Vision Research, you need a strong background in mathematics, machine learning, and image processing, usually supported by a graduate degree in computer science or a related field. Familiarity with programming languages such as Python or C++, deep learning frameworks like TensorFlow or PyTorch, and experience with relevant certifications or published research is highly valued. Critical thinking, collaboration, and clear communication are essential soft skills in this role. These skills enable researchers to develop innovative solutions, share insights effectively, and drive progress in advancing computer vision technologies.

What is a Computer Vision Research job?

A Computer Vision Research job involves developing and improving algorithms that enable computers to interpret and analyze visual data from the world. Researchers in this field work on areas such as image recognition, object detection, and scene understanding using techniques from machine learning and deep learning. They experiment with datasets, design novel architectures, and publish findings to advance the state of the art in computer vision. These roles are commonly found in industries like healthcare, robotics, autonomous vehicles, and augmented reality.

What are popular job titles related to Computer Vision Research jobs in Boston, MA? For Computer Vision Research jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Research jobs in Boston, MA look for? The top searched job categories for Computer Vision Research jobs in Boston, MA are:
Computer Vision Research jobs near you
Infographic showing various Computer Vision Research job openings in Boston, MA as of June 2026, with employment types broken down into 2% As Needed, 70% Full Time, 15% Part Time, 11% Contract, and 2% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $50,215 per year, or $24.1 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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