Smart Factory & Data Science: Apple is seeking highly qualified people for the position of System Engineer in developing new Smart Factory tools and systems. As a member of the team, you will work on some of the most ambitious technical problems, develop new tools using big data, and employ ML solutions that will impact future Apple products.
Requirements in Smart Factory & Data Science:
- In-depth expertise in system design of tools, and excellent programming skills in Python, C/C++, CUDA or other GPGPU is a plus
- Knowledge on industrial engineering such as UPH, OEE/TEEP, line efficiency, manufacturing capability and process modeling
- Advanced knowledge of statistical technique will be a huge plus
- Encouraged to perform well in a fast-paced environment, to execute on the tasks assigned, to meet the production objectives
- Be able to deliver ML technologies using big data
- Good presentation skills
- Creative, collaborative, & product focused
Responsibilities:
You will be part of the team to develop innovative Smart Factory solutions using big data and ML strategies for challenging problems that will affect future Apple products. You are self-motivated, an excellent problem solver, a go-getter. You are quick to build relationships and work well with change and ambiguity. You have strong programming skills with tried experience crafting, prototyping, and delivering advanced algorithmic solutions.
Basic Qualifications:
Currently pursuing a Ph.D., Master’s degree in Industrial & System Engineering, Machine Learning, Computer Science, Data Science, Statistics or related areas.
