— Experience in Python (at least 3 years) to rapidly prototype a heterogeneous system of multiple software / hardware components including on-premises computer vision servers, video management servers, industrial PLC controllers, network cameras, indoor positioning system servers, and cloud components (AWS cloud services) — using various API/SDK.
— Strong CS expertise (algorithms, data-structures, design patterns, etc.).
— Experience in developing software solutions for complex engineering applications
— Parallel programming, multithreading
— Linux development experience (application and system level).
— Experience using JIRA or similar tracking / reporting systems is required.
— MS or BS in Math/Computer Science/etc.
— Good written and spoken English
— Proficiency in one of the object-oriented programming languages (e.g., C++, Java, C#)
— Familiarity with Pytorch/Tensorflow
— Knowledge of algorithms and data structures
— Good compensation
— Benefit package
— Social project
— Challenges every day!
— Software team (server side) technical leadership and management.
— Python (and sometimes C++) code development for Computer Vision servers.
— PoC rapid prototyping and software integration.
— Business logic implementation according to the specs.
— Involvement in requirements analysis and SW design.
— Architecture definition for new applications and pipelines.
— Maintenance and refactoring of existing solutions and applications.
— Efficient regular communication with HQ, travel abroad is required
We are hiring a highly experienced Python Software Engineer. We are looking for someone who could be involved in software development of products, design software architecture and work more independently from the US team.
Our partner is on a mission to make the world’s industrial environments safer with technology solutions, and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. Our team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.