Workflow Automation Engineer | GenAI Focused

Change the world. Love your job.

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, earning the trust of subject matter experts, and driving and implementing workflow automation across systems.

You are a strong software engineer energized by ambiguity. You can 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. You don’t just write code — you understand the business problem deeply enough to know when a simpler solution beats a clever one.

You are self-directed. You find automation opportunities others miss, propose solutions before anyone asks, and take ownership of outcomes from design through deployment. You stay current with emerging technologies — including agentic frameworks and AI tooling — not because it’s trendy, but because you know how to apply them where they genuinely move the needle.

• 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