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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Computer Vision Engineer - **Company:** ASUS Computer International - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $164,000.0 - $237,000.0 - **Contract:** Permanent contract - **Skills:** Computer Vision, Automation of Tests, C++ (Programming Language), Code Review, Nvidia CUDA, Software Design Patterns, Global Positioning Systems (GPS), Python (Programming Language), Object Detection, OpenCV, Tensorflow, Sensor Fusion, Software Engineering, Software Organization, Pytorch, Deep Learning, Information Technology, Software Coding, Lidar, Software Version Control, GNSS - **Published:** July 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a226d9c058b21136 ## About the Role * 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, 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. ## Description * 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. ## Related Videos - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Finding the unknown unknowns: intelligent data collection for autonomous driving development](https://www.wearedevelopers.com/videos/519-finding-the-unknown-unknowns-intelligent-data-collection-for-autonomous-driving-development) - [Unboxing the DeepFace](https://www.wearedevelopers.com/videos/335-unboxing-the-deepface) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)