Shanghai, Shanghai
Job Summary
Objective / Project Overview:
- The vendor team should support the Apple HWTE internal team on the design and
deployment of systems carrying out calibration and performance validation of Display
and Display Algorithm functions across Apple product lines.
- The vendor team should support the Apple HWTE internal team on developing and
maturing novel camera metrology, as well as improving existing factory metrology
software and algorithms, ensuring seamless handover to factory teams prior to
production builds.
- The vendor team should support the Apple HWTE internal team on designing,
developing, and deploying AI-powered tools that democratize access to complex
algorithm and simulation pipelines, automate multi-step workflows, and capture
expert domain knowledge into durable, reusable systems.
Scope
- Work collaboratively with Apple DRI teams in partnership with Station DRIs, CM
DRIs, and OpsTE to execute tasks throughout project build stages.
- Ensure all tasks and deliverables are completed on time to satisfy dry run, build, and
post-build objectives for each project.
- Assess and communicate delivery risks; propose and execute mitigations proactively.
- Provide weekly reporting and handle initial escalations to Apple functional teams.
- Develop and improve processes and practices in collaboration with Apple
counterparts.
Key Responsibilities
- Design, develop and optimize Computer Vision based solutions for manufacturing
inspection.
- Analyze large amounts of data to qualify and improve algorithm/models.
- Support the full machine learning lifecycle—from data collection and preprocessing
to model development, deployment, and monitoring.
- Track and report dry-run and build issues; yield and retest improvements.
- Collaborate with cross-functional teams to build & maintain inspection solutions.
- Users: HWTE Display, Display Algo, Machine Vision, Station DRI, EPM team.
Skill Requirements
- BS in CE / EE / Physics or other engineering/scientific discipline.
- Deep knowledge and hands-on experience in image processing, computer vision,
machine learning and deep learning.
- Strong programming skills in one or more of: C / C++ / Python.
- Experience in Git.
- Experience in consumer electronics industry.
- 2+ years of related professional experience, such as image-based defect detection or
medical image analysis
Other Requirements
Proficiency in image processing, computer vision, and ML/DL pipelines as applied to
display calibration and defect detection.
- Strong project management capability and communication skill.
- Ability to work well in a collaborative, highly cross-functional, and fast-paced
environment.
#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-
