Algorithm Engineer

Doctorate (Academic) in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Mathematics, Physics, or related field
Strong background in one or more of the following areas: Machine Learning, deep learning, computer vision, image processing, applied mathematics and computational physics (electromagnetics)
Proficiency in C/C++, Python, and object-oriented programming and design
Experience in performance profiling, memory optimization, and parallel computing
Knowledge of common deep learning frameworks like TensorFlow, Keras, etc.
Ability to formulate problems into mathematical equations
Great teammate with excellent written and verbal communication skills
Ability and willingness to travel worldwide to support demos and projects at customer sites

Design, develop and implement groundbreaking computer vision and image processing algorithms
Rapid prototype and validate new machine learning, deep learning, and image processing algorithms
Develop end-to-end solutions that holistically account for the system, imaging/measurement pipeline, the user experience, and the end application requirements
Work in a highly multi-functional organization to drive systems integration of algorithms
Write robust production quality code
Bring forward and drive creative ideas, develop production code, and provide support as needed
Own prototype to production of algorithms

Strong understanding of image-processing-related or computer-vision-related deep learning work such as generative models, semantic segmentation, vision transformers
Hands on experience solving computer vision challenges
Strong fundamentals in low-level and classical image processing algorithms
Appreciation of complex image acquisition systems
New college grads (NCG) with 1+ years of professional or academic research experience in one or more of the following fields: Machine learning, Deep learning, image processing, computer vision, applied mathematics or computational physics are welcome to apply