Computer Vision Engineer

Sidglobal; Bellevue (WA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm based in Bellevue is looking for a highly skilled Computer Vision Engineer to spearhead innovative projects within their North America Fulfillment Network. The role involves designing and implementing advanced engineering solutions that integrate IIoT hardware with computer vision and machine learning. Candidates should possess a strong background in engineering design and proven experience in delivering impactful outcomes across diverse teams. Strong communication and project management skills are essential for success in this dynamic role.

Qualifications

• Proven experience in computer vision and machine learning integration for real-time solutions.
• Strong coding skills with the ability to prototype and deploy models.
• Experience in large-scale engineering projects from concept to implementation.
• Hands-on experience with IIoT hardware design and integration.
• Strong knowledge of system design and human-machine interaction principles.

Responsibilities

• Lead and manage project life cycles for cross-functional initiatives.
• Design engineering solutions for material handling challenges.
• Develop and configure IIoT hardware for operational enhancements.
• Collaborate to create advanced simulation models.
• Communicate complex ideas clearly and build consensus.

Skills

Computer vision integration

Machine learning deployment

Coding skills (Python, C++)

Project management

Stakeholder management

Tools

IIoT hardware

3D modelling tools

CAD tools

Job description

Bellevue, United States | Posted on 04/07/2026

Weare seeking a highly skilled and innovative Computer Vision Engineering to leadthe lifecycle of complex cross-functional projects within our North America Fulfillment Network. This role focuses on designing, developing, and implementing advanced engineering solutions, integrating IIoT hardware, computer vision, and machine learning to improve material handling, operator workflows, and fulfillment processes.

Theideal candidate has a strong background in engineering design, computer vision, and applied machine learning, with proven experience driving large-scale projects, collaborating across teams, and delivering impactful outcomes in dynamic operational environments.

Key Responsibilities

• Lead and manage end-to-end life cycles of complex cross-functional projects spanning organizations and geographies, ensuring delivery of impactful business outcomes.
• Engineering Solutions : Design and develop engineering solutions for material handling challenges, considering human–equipment interactions and operational excellence.
• IIoT Development : Develop, configure, and implement IIoT hardware to enhance equipment, processes, and operator workflows.
• Simulation & Modeling : Collaborate with Scientists to create advanced simulation models and perform “what‑if” scenario testing to drive optimal hardware and process solutions.
• Concept & Design Leadership : Lead concept efforts for optimal solutions including equipment specifications, material flow, ergonomics, associate experience, operational considerations, and site layout.
• Vendor & Stakeholder Collaboration : Partner with suppliers, vendors, and internal teams to deliver innovative solutions with scalability and efficiency.
• Documentation & Standards : Ensure all solutions are documented with SOPs and/or structured change control, setting standards for engineering excellence.
• Multi-Project Management : Manage multiple initiatives simultaneously while influencing, negotiating, and communicating effectively within internal and external stakeholders.
• Thought Leadership : Deliver artifacts (research, schematics, prototypes, 3D models, analysis, test plans, narratives) that set benchmarks for organizational engineering standards.
• Consensus Building : Communicate complex ideas clearly, harmonized diverse perspectives, and build consensus to resolve contentious issues.

Must-Have Qualifications

• Proven experience in computer vision (CV) and machine learning (ML) integration for real‑time solutions.
• Strong coding skills (Python, C++, or similar) with the ability to prototype, test, and deploy ML/CV models in production environments.
• Demonstrated ability to lead large-scale engineering projects or device development from concept through implementation.
• Hands‑on experience with IIoT hardware design, configuration, and integration for operational improvements.
• Strong knowledge of system design, material handling, and human–machine interaction principles.
• Exceptional program management, communication, and stakeholder management skills.

Nice-to-Have Qualifications

• Advanced Python programming skills for data modelling, simulation, and rapid prototyping.
• Experience with system emulation and testing environments.
• Strong background in cross-functional collaboration within large, fast-paced, and dynamic operational environments.
• Familiarity with 3D modelling, CAD tools, or hardware prototyping.