Computer Vision Engineer

SID Global Solutions; Bellevue (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

SID Global Solutions in Bellevue, WA is seeking an Interdisciplinary Computer Vision Engineer for Fulfillment to join a world-class team developing and deploying high-performance material handling systems.

You will design and deploy computer vision pipelines, hardware and edge devices, and integrate vision outputs with dashboards and APIs, while collaborating with scientists to run simulations and what-if scenarios for the North America fulfilment network.

Qualifications

• Hands-on Python coding experience is required.
• Strong background in computer vision model development (YOLO, CNNs).
• Experience deploying on edge devices (Raspberry Pi, Jetson).
• Familiarity with Linux systems, sensors, and camera hardware.
• Experience with industrial IoT and data streams.

Responsibilities

• Lead cross-functional projects or programs for material handling and technology systems.
• Design, develop, and emulate hardware and software for IIoT platforms.
• Develop edge hardware and integrate vision outputs with dashboards and APIs.

Skills

Python

Computer vision

YOLO

CNNs

Edge computing

Linux

SageMaker

Raspberry Pi

Jetson Nano

Camera hardware

Industrial IoT

Tools

Raspberry Pi

Jetson Nano

Job description

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