Control Systems Engineer (RDSS)

Benefits

Parental leave

12 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

12 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Control Systems Engineer (RDSS) Taichung Role Purpose Artificial Intelligence Control Engineer with responsibility to develop and participate on project proposing, researching, designing, developing, testing and deploying solutions for internal systems. Would participate on project teams to deploy state of the advance, effectiveness, valuable and reliable control solutions. Key Responsibilities Provide Artificial Intelligence Control solutions to support business requirement. Continuously develop control model and improve AI model efficiency and effectiveness Integrate systems and technologies to deliver result into control systems and ensure real-time functionality Work with team to develop system requirements, establish design constraints, and set priorities. Initiate and lead AI control solution projects as appropriate to support competency and capability development to advance operational competitive advantage and build pipeline of engineering talents. Be responsible for establishing documents, trainings and development programs/processes to enhance team's competencies, capabilities and skills in core technologies through project assignments, trainings, coaching, seminars and conferences. Experiences/Education - Required Skilled in Python, TensorFlow, or PyTorch for model training and deployment. Skilled in C++, C#, Matlab development tools. Proficient in machine learning and deep learning techniques applied to dynamic control systems. Proficiency in common machine learning algorithms (e.g., SVM, random forests,

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