Automation & Innovation Engineer — Digital Transformation

Samsung

Taylor (TX)

On-site

USD 95,000 - 120,000

Full time

5 days ago
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Benefits offered by this job

Medical, dental, and vision insurance
Life insurance and 401(k) matching
Onsite café(s) and workout facilities
Paid maternity and paternity leave
Paid time off + holidays
Wellness incentives

Job summary

Samsung Austin Semiconductor in Texas is seeking an automation digital transformation engineer to drive innovative automation solutions in a fast-paced manufacturing environment. You will work within a small, high-performance team to support internal and external customers, delivering robust system improvements and clear documentation.

The role emphasizes hands-on troubleshooting, collaboration with vendors and startup teams, and ongoing optimization of automation platforms, using Python and

Qualifications

  • Experience understanding complex system interactions.
  • Strong technical troubleshooting skills.
  • Experience with Python and data packages (numpy, scipy, polars).

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

Python
Troubleshooting
System integration
Linux

Tools

Docker
Kubernetes
PostgreSQL
MongoDB
Cassandra
SQL
Linux

Job description

Samsung Austin Semiconductor in Texas is seeking an automation digital transformation engineer to drive innovative automation solutions in a fast-paced manufacturing environment. You will work within a small, high-performance team to support internal and external customers, delivering robust system improvements and clear documentation.

The role emphasizes hands-on troubleshooting, collaboration with vendors and startup teams, and ongoing optimization of automation platforms, using Python and

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