AI-Driven Scheduling Engineer, Austin

Applied Materials, Inc.; Austin, Northern (TX, KY); Hybrid; USD 124,000 - 171,000; Full time

Job summary

Applied Materials, Inc. seeks a Forward Deployed Engineer in Austin to lead scheduling optimization across manufacturing and supply chain.

You will collaborate with scheduling planners, product owners, software engineers, data scientists, and operations leaders to build AI-enabled decision-support tools and scalable workflows. The role emphasizes data-driven collaboration, rapid prototyping, and production deployments that deliver measurable business value and improved throughput.

Qualifications

• Experience in manufacturing scheduling and planning.
• Strong knowledge of optimization techniques and AI-enabled decision support.
• Ability to analyze data and translate requirements into scalable solutions.
• Effective communication with business and technical leadership.

Responsibilities

• Partner with scheduling, manufacturing, and business stakeholders to translate challenges into scalable scheduling solutions.
• Serve as primary liaison between scheduling teams and engineering organizations.
• Work with data, APIs, and business systems to prototype and deploy planning solutions.
• Design and implement dashboards, workflows, and AI-enabled scheduling capabilities.
• Identify bottlenecks and opportunities using manufacturing and supply chain data.
• Develop analytic models, automation frameworks, and deployment on cloud platforms.
• Lead workshops, gather requirements, and present recommendations to leadership.

Skills

Scheduling

Operations research

Optimization techniques

AI-enabled decision support

Data analysis

Cloud platforms

Tools

Python

SQL

Optimization algorithms

Simulation tools

Cloud platforms

Job description

Applied Materials, Inc. seeks a Forward Deployed Engineer in Austin to lead scheduling optimization across manufacturing and supply chain.

You will collaborate with scheduling planners, product owners, software engineers, data scientists, and operations leaders to build AI-enabled decision-support tools and scalable workflows. The role emphasizes data-driven collaboration, rapid prototyping, and production deployments that deliver measurable business value and improved throughput.