Advanced Inspection Engineer (Manufacturing Quality Engineering)

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 4 months ago
2-4 years
Cupertino, California, United States
work from office

Posted: 4 months ago
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Applicants: 149+
Job Description
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Job 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.
  • 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

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  • 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.

Skills

AlgorithmsPythonCloud ComputingLinuxUnixCloud

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About Company

Apple Inc., formerly Apple Computer, Inc., is a Silicon Valley–based multinational technology company headquartered in Cupertino, California. It designs, manufactures, and markets premium consumer electronics, software, and online services. Iconic products include the iPhone, iPad, Mac, Apple Watch, and Apple TV, alongside services such as Apple Music, iCloud, Apple Pay, Apple Arcade, Apple TV+, and the App Store. Operating systems now span iOS, iPadOS, macOS, watchOS, and visionOS.

As of August 2025, Apple ranks #3 globally by market capitalization (≈ US $3.4 trillion) and reported FY 2024 revenue of US $391 billion. It remains the second‑largest smartphone maker and fourth‑largest PC vendor worldwide, while expanding into AI‑powered devices, sustainable technology solutions, and mixed‑reality platforms like the Apple Vision Pro.

For professionals exploring Apple India careers, the company offers opportunities across hardware, software, design, retail, and operations, with office hubs in Bengaluru, Hyderabad, Mumbai, and Gurugram. Apple’s interview process in India is known for its rigor, cultural fit focus, and innovation‑driven assessment — attracting engineers, designers, and business talent passionate about shaping future‑ready technology.

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Important dates & deadlines?

Application Deadline

04 Mar 26, 05:10 PM IST

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Advanced Inspection Engineer (Manufacturing Quality Engineering)

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