Computer Vision R&D Engineer

Summary
We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines, including quality inspection systems in many different industries, medical equipment, as well as other exciting applications which use 3D imaging technologies and Machine Learning.
As a computer vision engineer, you will be using cutting-edge vision and AI algorithms to integrate into robotics systems designed by worldwide teams of software, mechatronics, electronics, physics and optics engineers. (interdisciplinary and collaboration)

Responsibility
- Research and develop scalable and cutting-edge computer vision for 3D reconstruction, 2D/3D imaging technologies, camera calibration, object detection, image processing, denoising, segmentation and metrology.
- Research, develop and employ machine learning algorithms for solving difficult and exciting challenges.
- Engineer solutions for quality inspection equipment, medical equipment, and more.
- Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python.
- Participate in weekly “Group Genius” activities, where all members take the lead and create ideas, with the mindset that innovation can happen by anyone and anywhere.
- Performs other duties as assigned

Skills and Qualifications
- Master’s degree required
- Ph.D preferred
- Experience to Research and Develop to Classical Computer Vision Algorithm
- Experience to Research and Develop Machine Learning

- Experience to Deploy CUDA processing
- C++ code optimization in performance-wise to image processing
- Experience with at least of the programming language C++ / Python / CUDA

Have at least one of the followings:
- Computer Vision algorithms and applications, such as 3D reconstruction(structured light, multi-view geometry, etc), object detection, recognition, image processing, and their optimizations for efficient implementation.
- Machine Learning, such as CNN/deep learning, shallow learning and their optimizations for efficient implementation on embedded systems
- Algorithm optimization for efficient processing, exploiting parallelism, and GPU
- Experienced in use of Machine learning and computer vision frameworks and libraries such as Tensorflow, Pytorch, Caffe, Torch, OpenCV, etc (>2years)
- C++ programming skills, preferably in an embedded environment with GPU and familiar with UML

Benefits
- Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)
- 401(k) retirement plan (Immediately 100% vested)
- Generous PTO and paid holidays