Job Description

Job Title: Computer Vision Engineer

Location: Bellevue, WA. Onsite

Job Type: Full-time SIDGS

Hands on Python coding experience is required.

Must be able to travel within a 50-mile radius; travel expenses will not be covered. Travel to other locations within the USA will be covered. A valid driver's license is required.

Job Description:

As an Interdisciplinary Computer Vision Engineer for Fulfilment, Successful candidate will be able to work with some of the most talented engineers in the design, scientists in simulation and optimization in the development and delivery of physical distribution systems around the globe. The candidate will lead initiatives and complex cross-functional projects or programs that focus on the building of new, the alteration of existing, and the closing of end-of-life material handling and technology systems inclusive of Hardware, Controls and Software.
The candidate will also lead the design and development of hardware, including sensors and edge compute devices for next generation Industrial Internet of Things (IIoT) platform being developed to improve equipment, process, and operator workflows. Have an established background in delivering high-performance physical systems, strong technical problem-solving abilities, project management skills, and an internal motivation to achieve results in a fast-paced and often ambiguous environment.
Design, develop, and emulate engineering solutions for complex material handling challenges considering human/equipment interactions for the North America fulfilment network
Design, develop and configure IIoT hardware for equipment, process, and operator workflow improvements
Solid understanding of Linux systems, sensors, and camera hardware
Hands on experience with computer vision models (YOLO, CNNs) including training, fine tuning, and deployment
Ability to deploy and optimize models on edge devices (Raspberry Pi, Jetson Nano, CPU/GPU boards)
Experience working with industrial environments, PLC connected sensors, and real time data streams
Familiarity with Amazon SageMaker for model training and tuning
Strong Python skills with experience building end to end vision pipelines
Ability to integrate vision outputs with dashboards, APIs, and UI teams
Lead and coordinate concept efforts for optimal solutions for the North America fulfilment network through equipment specification, material flow, process design, ergonomics, associate experience, operational considerations, and site layout
Work with Scientists to create highly advanced simulation models and run "what-if" scenarios to help drive to optimal Hardware solutions

Regards

Durga

durgavanig@sidgs.com

SID Global Solutions

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