Workflow Automation Engineer | GenAI Focused

Texas Instruments•Dallas, TX

About The Position

Smart Manufacturing and Automation (SMA) at Texas Instruments is looking for a Workflow Automation Engineer who can fundamentally change how quality and manufacturing operations run. This role sits at the intersection of deep process understanding and sophisticated software engineering — you will work directly with operational teams to identify inefficiencies, design automated solutions, and build systems that scale across the semiconductor product lifecycle, from fab operations to customer delivery. This role is not about automating tasks in isolation. It involves solving problems in complex operational environments, earn the trust of subject matter experts, and drive and implement workflow automation across systems.

Requirements

Strong software engineer energized by ambiguity
Ability to walk into a room with process engineers and quality specialists, ask the right questions, and leave with a clear picture of what needs to be built
Understand the business problem deeply enough to know when a simpler solution beats a clever one
Self-directed
Find automation opportunities others miss, propose solutions before anyone asks, and take ownership of outcomes from design through deployment
Stay current with emerging technologies — including agentic frameworks and AI tooling — and know how to apply them where they genuinely move the needle

Responsibilities

Engage directly with operational and engineering stakeholders to understand, map, and automate complex business processes — translating domain expertise into reliable, scalable software
Analyze existing workflows across manufacturing and quality operations to identify automation opportunities with measurable impact on productivity, cycle time, and decision quality
Design and implement end-to-end automated workflow solutions that reduce manual effort and increase operational consistency
Build scalable, maintainable software with clean architecture, disciplined testing, and rigorous version control practices
Design and implement agentic automation solutions leveraging emerging frameworks such as Model Context Protocol (MCP) and agent-to-agent (A2A) protocols to create intelligent, composable workflow systems
Apply strong software engineering fundamentals to ensure solutions are robust, extensible, and production-grade
Define and drive technical strategy for workflow automation — setting engineering standards and identifying platform-level opportunities that compound impact over time
Mentor engineers and elevate team capability through technical guidance, code reviews, and knowledge sharing
Proactively identify and self-initiate improvements beyond assigned scope, bringing a continuous improvement mindset to everything you build