Advanced Inspection Engineer (Manufacturing Quality Engineering) at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Vision, Machine Learning, Software Development, Networking Concepts, Optics, Image Acquisition, Mechanical Metrology, Automation, Python, Cloud Computing, Statistical Analysis, CNC, Laser Welding, Technical Project Management, Database Management, Inspection Systems

Industry

Computers and Electronics Manufacturing

Description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple donʼt just create products — they create the kind of wonder thatʼs revolutionized entire industries. Itʼs the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it. Our team is responsible for the development of the inspection equipment that determines if a product meets Appleʼs high standards across all of the mechanical portion of hardware we make - iPhone, Mac, iPad, Watch and others DESCRIPTION It takes a strong background to qualify for this job. As an applicant, you will explain not just how to build solution or models to answer problems, but how to deploy models. These systems will be responsible for judgement of millions of units per day in a challenging production environment. There is a bit of being like a start-up where youʼll occasionally have to wear multiple hats - sometimes youʼll need to be a technical project manager, other time youʼll need to deep dive into databases, while at other times youʼll need to work with optics improvements to be able to see defects consistently so that you can then drive inspection and ML advancements. You will be required to balance technical requirements while effectively managing collaborations with vendors to maintain schedule and ramp dates. MINIMUM QUALIFICATIONS 2+ yearsʼ experience applying computer or machine vision or machine learning techniques to build models that are deployable into a manufacturing environment Software development skills Knowledge of basic networking concepts and protocols, e.g.: TCP/IP, HTTP, etc. Experience with 2D/3D triangulation laser system and/or CCD inspection system such as Halcon, Keyence, Cognex, and/or Visco Familiar with mechanical metrology system qualification process, such as GRR, Correlation, Stability and Reliability Understanding of optics, image acquisition, software filtering and judgment algorithms. Basic understanding of manufacturing processes (i.e. CNC, modeling, laser welding, etc) Intermediate knowledge of automation including system layout, architecture, and cycle time optimization for optical, motion and mechanical systems Ability to Travel approximately 25-50% of the time B.Sc. in Mechanical Engineering, Computer Science, Systems Design, Electrical Engineering or equivalent experience PREFERRED QUALIFICATIONS Demonstrated technical skills in Machine or Computer Vision as well Machine Learning (CNNs, object detection) Proficiency with Python, CLI, Linux and Unix shell scripting Experience with cloud computing platforms AWS and deployment tools like docker Experience building Software ML solutions – all the way from inception to production. Proficiency in Python is preferred. Experienced user of machine learning and statistical-analysis libraries, such as Turi Create, PyTorch, Keras, Scikit-learn, SciPy. Ability to explain and present analyses and machine learning concepts to a broad technical audience.

Responsibilities

The role involves developing inspection equipment to ensure products meet Apple's high standards. The engineer will manage collaborations with vendors and balance technical requirements in a fast-paced production environment.