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Senior Computer Vision Engineer Jobs in Boston, MA

ASUS

Senior Computer Vision Engineer

Boston, MA · On-site

$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 ...

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to ... Research Computer Vision (CV) and Natural Language Processing (NLP) algorithms to address technical ...

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Senior Computer Vision Engineer information

See Boston, MA salary details

$64.6K

$137.5K

$199.4K

How much do senior computer vision engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior computer vision engineer in Boston, MA is $137,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $155,900.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What are some common challenges faced by a senior computer vision engineer when deploying models to production environments?

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

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

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.
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 Senior Computer Vision Engineer jobs in Boston, MA? For Senior Computer Vision Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Senior Computer Vision Engineer jobs in Boston, MA look for? The top searched job categories for Senior Computer Vision Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Senior Computer Vision Engineer jobs? Cities near Boston, MA with the most Senior Computer Vision Engineer job openings:
Senior Computer Vision Engineer jobs near you
Infographic showing various Senior Computer Vision Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $137,492 per year, or $66.1 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

Re-posted 13 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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