Computer Vision Engineer

Role Overview

We
are seeking a highly skilled and innovative Computer Vision Engineering to lead
the 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.

The
ideal 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 with
  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, harmonize
  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.