AI-Enabled Scheduling Engineer

Applied Materials, Inc.; Austin (TX); On-site; USD 124,000 - 171,000; Full time

Job summary

Applied Materials, Inc. in Austin, TX is seeking a senior-level scheduling and optimization professional to partner with scheduling, manufacturing, and business stakeholders to design scalable scheduling solutions.

You will work with data, APIs, and AI-enabled tools to improve cycle time, tool utilization, throughput, and delivery performance, delivering measurable business value through rapid pilots and production deployments.

Qualifications

• Deep expertise in manufacturing scheduling and planning.
• Experience with AI-enabled decision support systems.
• Strong background in optimization techniques and operations research.

Responsibilities

• Partner with Scheduling, Manufacturing, and Business stakeholders to translate planning challenges into scalable scheduling solutions.
• Serve as the technical liaison between scheduling teams and engineering to improve cycle time and throughput.
• Develop and deploy analytical models, automation, and AI-enabled solutions using Python, SQL, and cloud platforms.
• Drive proofs-of-concept, pilots, and production rollouts delivering measurable business value.

Skills

Scheduling,

Operations research

AI-enabled decision support

Python

SQL

Education

Bachelor's degree in a relevant field

Tools

Optimization libraries

APIs

Cloud platforms

Job description

Applied Materials, Inc. in Austin, TX is seeking a senior-level scheduling and optimization professional to partner with scheduling, manufacturing, and business stakeholders to design scalable scheduling solutions.

You will work with data, APIs, and AI-enabled tools to improve cycle time, tool utilization, throughput, and delivery performance, delivering measurable business value through rapid pilots and production deployments.