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Premium Employer

Apple

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4.3

based on 540 Reviews

Video summary

7 Apple Manufacturing Quality Engineer Jobs

Inspection Tech Manufacturing Quality Engineer

Apple India Pvt Ltd

4.3

based on 540 Reviews

3-6 years

Bangalore / Bengaluru

1 vacancy

Inspection Tech Manufacturing Quality Engineer

Apple

posted 15d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python Computer Networking Automation Testing Machine Learning Linux Administration

+ 3 more

Job Description

As an InTech MQE, your role with be to co-work with suppliers to design inspection equipment, build it and deploy it in production environment. You will explain not just how to build a 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 mechanical part manufacturing environment. There is a bit of being like a start-up where you ll occasionally have to wear multiple hats - sometimes you ll need to be a technical project manager, other time you ll need to deep dive into databases, while at other times you ll need to work with optics improvements to be able to see part cosmetic defects consistently so that you can then drive inspection and Machine learning advancements. You will be required to balance technical requirements while effectively managing collaborations with vendors to maintain schedule and ramp dates.

Minimum Qualifications

4+ years 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, sometimes internationally
Must have strong interest and understanding of technical details whilst simultaneously have a firm grasp of the bigger picture as it relates to overall final product quality
Being hands-on, Creative and collaborative will be key in excelling in this role. Proficient use of English both written and oral

Key Qualifications

Preferred Qualifications

Basic exposure to GD&T, data analysis, metrology
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.
Bachelors degree in Mechanical Engineering, Computer Science, Systems Design, Electrical Engineering or equivalent experience. MS/ME or PhD is a plus