ASUS USA - Senior Computer Vision Engineer

JobviteBoston, MASenior

$164K–237KActive

Job description

ASUS Products ROG Products Commercial Support { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-06-30", "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\u00A0perception\u00A0systems that allow our UAVs and other autonomous platforms to understand and\u00A0operate\u00A0in complex, real-world environments.\u00A0

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.\u00A0

Essential Duties and Responsibilities:

Design, implement, and optimize computer vision algorithms for object detection, tracking, and visual recognition on UAVs and other autonomous platforms.\u00A0
Develop 3D perception capabilities, including visual odometry, depth estimation, structure from motion, and SLAM, to support real-time mapping and navigation.\u00A0
Build sensor fusion pipelines that integrate data from cameras, IMUs, GPS/GNSS, and other onboard sensors to produce\u00A0accurate, low-latency situational awareness.\u00A0
Optimize algorithms for deployment on resource-constrained edge and embedded\u00A0compute\u00A0platforms.\u00A0
Characterize and quantify the performance of\u00A0perception\u00A0components through simulation, lab testing, and real-world field testing.\u00A0
Collaborate with robotics, software, and hardware teams to integrate\u00A0perception\u00A0components into the broader autonomy stack.\u00A0
Write clean, maintainable, and well-documented source code adhering to modern software development practices.\u00A0
Work in a cross-functional team that takes ownership of the full software lifecycle.\u00A0

Knowledge and Skills:

\u00A0

Familiarity with classical computer vision techniques and libraries (e.g., OpenCV) and with multi-sensor data integration (e.g., cameras, IMU, GPS/GNSS, LiDAR).\u00A0
Strong fundamentals in linear algebra, probabilistic inference, and 3D geometry.\u00A0
Proficiency\u00A0in C++ and Python, with a commitment to writing clean, well-architected code.\u00A0
Understanding of\u00A0software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.\u00A0
Experience deploying\u00A0perception\u00A0software on embedded or edge compute platforms (e.g., NVIDIA Jetson) is strongly preferred.\u00A0
Experience with robotics, autonomous systems, or real-time\u00A0perception\u00A0applications is a plus.\u00A0
Familiarity with GPU/CUDA programming for accelerated vision processing is a plus.\u00A0
Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week.\u00A0
Excellent written and verbal communication skills.\u00A0
Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required

\u00A0

Required Qualifications:

Years of Education

Bachelor's degree or higher in computer science, electrical engineering, robotics, or\u00A0a related\u00A0field.\u00A0

Work Experience

5+ years of industry experience\u00A0developing and deploying computer vision or perception software.\u00A0\u00A0
Hands-on experience with one or more of: visual odometry, SLAM, structure from motion, multi-view geometry, or 3D reconstruction.\u00A0
Practical experience with object detection, tracking, or segmentation, including training and deploying deep learning models using frameworks such as\u00A0PyTorch\u00A0or TensorFlow.\u00A0
\u00A0

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

\u00A0

$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.\u00A0

\u00A0

About the ASUS Robotics & AI Center\u00A0

The ASUS Robotics & AI Center\u00A0is\u00A0a world-class research and development laboratory that was\u00A0established\u00A0with 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.\u00A0

\u00A0More About ASUS\u00A0

ASUS is a global technology leader that provides the world\u2019s 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\u2019s technologies. Consistently ranked as one of Fortune\u2019s World\u2019s 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.\u00A0

", "hiringOrganization": "ASUS Computer International", "employmentType": "Full-Time", "industry": "Engineering", "identifier": "o8NpAfwE", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Boston", "addressRegion": "Massachusetts", "addressCountry": "United States" } } ], "title": "Senior Computer Vision Engineer", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "164000", "maxValue": "237000", "unitText": "" } } } Senior Computer Vision Engineer EngineeringHybrid Remote, Boston, Massachusetts Apply 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 Experience5+ 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 environmentThis 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 timeTravel 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. Apply Apply Later Applicants must be authorized to work for ANY employer in the U.S. The company will not sponsor or take over sponsorship of an employment Visa at this time. ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Learn More Partner Portal ASUS PC DIY Become a Reseller Edge Up Insider's Edge Powered by ASUS Rate Your Gear Accessibility Policy About Us About ASUS Careers Corporate Social Responsibility News Internal Audit Press Room Where to Buy ASUSTOR Inc. Support ASUS Premium Care Contact Us Commercial Support Deal Registration MyASUS Product Registration Rebate Center Security Advisory ASUS Support Videos Community Powered by Jobvite Terms of Use Notice Privacy Policy ©ASUSTeK Computer Inc. All rights reserved.

ASUS Products ROG Products Commercial Support { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-06-30", "description": "

Job Description Overview:

Essential Duties and Responsibilities:

Design, implement, and optimize computer vision algorithms for object detection, tracking, and visual recognition on UAVs and other autonomous platforms.\u00A0
Develop 3D perception capabilities, including visual odometry, depth estimation, structure from motion, and SLAM, to support real-time mapping and navigation.\u00A0
Build sensor fusion pipelines that integrate data from cameras, IMUs, GPS/GNSS, and other onboard sensors to produce\u00A0accurate, low-latency situational awareness.\u00A0
Optimize algorithms for deployment on resource-constrained edge and embedded\u00A0compute\u00A0platforms.\u00A0
Characterize and quantify the performance of\u00A0perception\u00A0components through simulation, lab testing, and real-world field testing.\u00A0
Collaborate with robotics, software, and hardware teams to integrate\u00A0perception\u00A0components into the broader autonomy stack.\u00A0
Write clean, maintainable, and well-documented source code adhering to modern software development practices.\u00A0
Work in a cross-functional team that takes ownership of the full software lifecycle.\u00A0

Knowledge and Skills:

\u00A0

Familiarity with classical computer vision techniques and libraries (e.g., OpenCV) and with multi-sensor data integration (e.g., cameras, IMU, GPS/GNSS, LiDAR).\u00A0
Strong fundamentals in linear algebra, probabilistic inference, and 3D geometry.\u00A0
Proficiency\u00A0in C++ and Python, with a commitment to writing clean, well-architected code.\u00A0
Understanding of\u00A0software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.\u00A0
Experience deploying\u00A0perception\u00A0software on embedded or edge compute platforms (e.g., NVIDIA Jetson) is strongly preferred.\u00A0
Experience with robotics, autonomous systems, or real-time\u00A0perception\u00A0applications is a plus.\u00A0
Familiarity with GPU/CUDA programming for accelerated vision processing is a plus.\u00A0
Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week.\u00A0
Excellent written and verbal communication skills.\u00A0
Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required

\u00A0

Required Qualifications:

Years of Education

Bachelor's degree or higher in computer science, electrical engineering, robotics, or\u00A0a related\u00A0field.\u00A0

Work Experience

5+ years of industry experience\u00A0developing and deploying computer vision or perception software.\u00A0\u00A0
Hands-on experience with one or more of: visual odometry, SLAM, structure from motion, multi-view geometry, or 3D reconstruction.\u00A0
Practical experience with object detection, tracking, or segmentation, including training and deploying deep learning models using frameworks such as\u00A0PyTorch\u00A0or TensorFlow.\u00A0
\u00A0

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

\u00A0

About the ASUS Robotics & AI Center\u00A0

\u00A0More About ASUS\u00A0

ASUS Products ROG Products Commercial Support { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-06-30", "description": "

Job Description Overview:

Essential Duties and Responsibilities:

Design, implement, and optimize computer vision algorithms for object detection, tracking, and visual recognition on UAVs and other autonomous platforms.\u00A0
Develop 3D perception capabilities, including visual odometry, depth estimation, structure from motion, and SLAM, to support real-time mapping and navigation.\u00A0
Build sensor fusion pipelines that integrate data from cameras, IMUs, GPS/GNSS, and other onboard sensors to produce\u00A0accurate, low-latency situational awareness.\u00A0
Optimize algorithms for deployment on resource-constrained edge and embedded\u00A0compute\u00A0platforms.\u00A0
Characterize and quantify the performance of\u00A0perception\u00A0components through simulation, lab testing, and real-world field testing.\u00A0
Collaborate with robotics, software, and hardware teams to integrate\u00A0perception\u00A0components into the broader autonomy stack.\u00A0
Write clean, maintainable, and well-documented source code adhering to modern software development practices.\u00A0
Work in a cross-functional team that takes ownership of the full software lifecycle.\u00A0

Knowledge and Skills:

\u00A0

Familiarity with classical computer vision techniques and libraries (e.g., OpenCV) and with multi-sensor data integration (e.g., cameras, IMU, GPS/GNSS, LiDAR).\u00A0
Strong fundamentals in linear algebra, probabilistic inference, and 3D geometry.\u00A0
Proficiency\u00A0in C++ and Python, with a commitment to writing clean, well-architected code.\u00A0
Understanding of\u00A0software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.\u00A0
Experience deploying\u00A0perception\u00A0software on embedded or edge compute platforms (e.g., NVIDIA Jetson) is strongly preferred.\u00A0
Experience with robotics, autonomous systems, or real-time\u00A0perception\u00A0applications is a plus.\u00A0
Familiarity with GPU/CUDA programming for accelerated vision processing is a plus.\u00A0
Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week.\u00A0
Excellent written and verbal communication skills.\u00A0
Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required

\u00A0

Required Qualifications:

Years of Education

Bachelor's degree or higher in computer science, electrical engineering, robotics, or\u00A0a related\u00A0field.\u00A0

Work Experience

5+ years of industry experience\u00A0developing and deploying computer vision or perception software.\u00A0\u00A0
Hands-on experience with one or more of: visual odometry, SLAM, structure from motion, multi-view geometry, or 3D reconstruction.\u00A0
Practical experience with object detection, tracking, or segmentation, including training and deploying deep learning models using frameworks such as\u00A0PyTorch\u00A0or TensorFlow.\u00A0
\u00A0

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

\u00A0

About the ASUS Robotics & AI Center\u00A0

\u00A0More About ASUS\u00A0

{ "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-06-30", "description": "

Job Description Overview:

Essential Duties and Responsibilities:

Design, implement, and optimize computer vision algorithms for object detection, tracking, and visual recognition on UAVs and other autonomous platforms.\u00A0
Develop 3D perception capabilities, including visual odometry, depth estimation, structure from motion, and SLAM, to support real-time mapping and navigation.\u00A0
Build sensor fusion pipelines that integrate data from cameras, IMUs, GPS/GNSS, and other onboard sensors to produce\u00A0accurate, low-latency situational awareness.\u00A0
Optimize algorithms for deployment on resource-constrained edge and embedded\u00A0compute\u00A0platforms.\u00A0
Characterize and quantify the performance of\u00A0perception\u00A0components through simulation, lab testing, and real-world field testing.\u00A0
Collaborate with robotics, software, and hardware teams to integrate\u00A0perception\u00A0components into the broader autonomy stack.\u00A0
Write clean, maintainable, and well-documented source code adhering to modern software development practices.\u00A0
Work in a cross-functional team that takes ownership of the full software lifecycle.\u00A0

Knowledge and Skills:

\u00A0

Familiarity with classical computer vision techniques and libraries (e.g., OpenCV) and with multi-sensor data integration (e.g., cameras, IMU, GPS/GNSS, LiDAR).\u00A0
Strong fundamentals in linear algebra, probabilistic inference, and 3D geometry.\u00A0
Proficiency\u00A0in C++ and Python, with a commitment to writing clean, well-architected code.\u00A0
Understanding of\u00A0software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.\u00A0
Experience deploying\u00A0perception\u00A0software on embedded or edge compute platforms (e.g., NVIDIA Jetson) is strongly preferred.\u00A0
Experience with robotics, autonomous systems, or real-time\u00A0perception\u00A0applications is a plus.\u00A0
Familiarity with GPU/CUDA programming for accelerated vision processing is a plus.\u00A0
Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week.\u00A0
Excellent written and verbal communication skills.\u00A0
Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required

\u00A0

Required Qualifications:

Years of Education

Bachelor's degree or higher in computer science, electrical engineering, robotics, or\u00A0a related\u00A0field.\u00A0

Work Experience

5+ years of industry experience\u00A0developing and deploying computer vision or perception software.\u00A0\u00A0
Hands-on experience with one or more of: visual odometry, SLAM, structure from motion, multi-view geometry, or 3D reconstruction.\u00A0
Practical experience with object detection, tracking, or segmentation, including training and deploying deep learning models using frameworks such as\u00A0PyTorch\u00A0or TensorFlow.\u00A0
\u00A0

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

\u00A0

About the ASUS Robotics & AI Center\u00A0

\u00A0More About ASUS\u00A0

Senior Computer Vision Engineer

EngineeringHybrid Remote, Boston, Massachusetts