Computer Vision Engineer

Sidglobal; Bellevue (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

Sidglobal in Bellevue, WA seeks a Computer Vision Engineer to lead cross-functional projects, integrating IIoT hardware, CV, and ML to improve material handling and operator workflows. You will design, prototype, and deploy real-time solutions across multiple sites, collaborating with engineering and operations teams.

The role emphasizes leading large-scale projects, building scalable systems, and delivering measurable outcomes in dynamic environments.

Qualifications

• Proven experience in computer vision and ML integration for real-time solutions.

Responsibilities

• Lead end-to-end life cycles of complex cross-functional projects across organizations and geographies.
• Engineering Solutions: Design and develop engineering solutions for material handling, considering human–equipment interaction.
• IIoT Development: Develop, configure, and implement IIoT hardware to enhance equipment and workflows.
• Simulation & Modeling: Collaborate to create advanced simulation models and run what-if analyses.
• Concept & Design Leadership: Lead concepting for equipment specs, material flow, and site layout.
• Vendor & Stakeholder Collaboration: Partner with suppliers and teams to deliver scalable solutions.
• Documentation & Standards: Create SOPs and change-control documentation.
• Multi-Project Management: Manage multiple initiatives while coordinating stakeholders.
• Thought Leadership: Produce artifacts that set engineering benchmarks and best practices.
• Consensus Building: Communicate complex ideas clearly and build cross-functional agreement.

Skills

Computer vision

Machine learning

Python

C++

Project leadership

IIoT integration

System design

Program management

Stakeholder management

Tools

3D modelling

CAD tools

Hardware prototyping

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 AmericaFulfillment Network. This role focuses on designing, developing, andimplementing advanced engineering solutions, integrating IIoT hardware,computer vision, and machine learning to improve material handling, operatorworkflows, and fulfillment processes.

Theideal candidate has a strong background in engineering design, computervision, and applied machine learning, with proven experience drivinglarge-scale projects, collaborating across teams, and delivering impactfuloutcomes in dynamic operational environments.

Key Responsibilities

• Lead and manage end-to-end life cycles ofcomplex cross-functional projects spanning organizations and geographies,ensuring delivery of impactful business outcomes.
• Engineering Solutions : Design and develop engineering solutions formaterial handling challenges, considering human–equipment interactions andoperational excellence.
• IIoT Development : Develop, configure, and implement IIoThardware to enhance equipment, processes, and operator workflows.
• Simulation & Modeling : Collaborate with Scientists to createadvanced simulation models and perform “what-if” scenario testing to driveoptimal hardware and process solutions.
• Concept & Design Leadership : Lead concept efforts for optimal solutionsincluding equipment specifications, material flow, ergonomics, associateexperience, operational considerations, and site layout.
• Vendor & Stakeholder Collaboration : Partner with suppliers, vendors, andinternal teams to deliver innovative solutions with scalability andefficiency.
• Documentation & Standards : Ensure all solutions are documented withSOPs and/or structured change control, setting standards for engineeringexcellence.
• Multi-Project Management : Manage multiple initiatives simultaneouslywhile influencing, negotiating, and communicating effectively withinternal and external stakeholders.
• Thought Leadership : Deliver artifacts (research, schematics,prototypes, 3D models, analysis, test plans, narratives) that setbenchmarks for organizational engineering standards.
• Consensus Building : Communicate complex ideas clearly, harmonizediverse 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 productionenvironments.
• Demonstrated ability to lead large-scaleengineering projects or device development from concept throughimplementation.
• Hands‑on experience with IIoT hardwaredesign, configuration, and integration for operational improvements.
• Strong knowledge of system design, materialhandling, and human–machine interaction principles.
• Exceptional program management,communication, and stakeholder management skills.

Nice-to-Have Qualifications

• Advanced Python programming skills fordata modelling, simulation, and rapid prototyping.
• Experience with system emulation andtesting environments.
• Strong background in cross-functionalcollaboration within large, fast-paced, and dynamic operationalenvironments.
• Familiarity with 3D modelling, CAD tools,or hardware prototyping.