On-Site Automation & Digital Transformation Engineer (Semiconductors)

Bzpp

United States

On-site

USD 95,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
401(k) matching
Onsite facilities

Job summary

Samsung Austin Semiconductor is seeking a high performing, automation digital transformation engineer. This engineer will work within a fast-paced manufacturing small team environment, supporting both internal and external department customers.

The applicant must be highly motivated, enjoy solving very difficult problems, and maintain a high level of customer service. The role requires strong understanding of complex systems, troubleshooting, and experience with Python and popular packages.

Qualifications

  • Strong experience understanding complex system interactions.
  • Strong technical troubleshooting skills.
  • Intermediate experience with Python and familiarity with popular packages (numpy, scipy, polars).
  • Basic understanding of Docker, Kubernetes.
  • Basic understanding of SQL and relational databases (Postgres, MongoDB, Cassandra preferred).
  • Familiarity with Linux and basic operations.

Responsibilities

  • Develop innovation automation solutions for customer automation needs.
  • Maintain complex systems with continual functional and documentation improvements.
  • Collaborate with vendors for troubleshooting and system setup.
  • Close collaboration with DSK setup teams for new fab system startup.
  • System sustaining, improvement, and optimization.

Skills

System interactions
Troubleshooting
Python (numpy/scipy/polars)
Docker
Kubernetes
SQL databases
Postgres
MongoDB
Linux

Tools

Python packages

Job description

Samsung Austin Semiconductor is seeking a high performing, automation digital transformation engineer. This engineer will work within a fast-paced manufacturing small team environment, supporting both internal and external department customers.

The applicant must be highly motivated, enjoy solving very difficult problems, and maintain a high level of customer service. The role requires strong understanding of complex systems, troubleshooting, and experience with Python and popular packages.

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