Develop and design new algorithms for image processing and analysis, and scalable software systems using C/C++ and Python.
Develop and execute large-scale data collection techniques for training Deep Neural Networks.
Drive and develop new algorithms to dramatically improve existing computer vision methods.
Research and maintain state-of-the-art ML algorithms for image analysis.
Debug and resolve production vision system issues through algorithm tuning and software-level fixes for kiosks deployed in diverse physical locations.
Code full-stack building products from end to end.
Build production-ready code.
Work with a small interdisciplinary team in hardware, software, and design to build new versions of products from scratch.
Conduct continuous improvement and maintenance of code already in production.
Develop scalable software systems for deployment on edge devices. Work with multi-camera systems. Build software for real-time image processing.
A Master’s degree or equivalent in Computer Science or a related field;
One year of experience in a software engineering or related role;
Must have one year of experience with designing and optimizing high-performance image processing software systems for deployment on edge devices; Developing and optimizing software within large-scale production codebases using C++ and Python; Working on multi-camera image processing pipelines to support advanced camera functionalities; Debugging and resolving camera image processing issues through algorithm tuning and software-level fixes; Performing debugging and analysis using log inspection, intermediate output validation, and debugging tools; Utilizing Bash and Python scripts for large-scale log processing and automation of debugging workflows; and Working in Linux environments and using tools such as Git, Make, and testing frameworks for software validation.
Select “Apply for this Job” below to submit your application and upload your resume. Reference code NV-CW-26.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
At Mashgin, we are developing the future of checkout experiences. We aim to reduce the friction between customer desires and their ability to be on their way. Our ecosystem is anchored by the only 3D computer vision and deep learning based checkout system in the world. With customers across a wide spectrum of verticals including the NFL, MLB, and Aramark, our company and product adoption are growing at a rapid pace.