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.
