Change the world. Love your job.
Texas Instruments is transforming semiconductor manufacturing through AI. This role sits within the Smart Manufacturing Automation (SMA). organization You will design, build, and operate the agentic AI infrastructure that powers factory intelligence across TI's global fab and assembly/test operations to connect large language models to live manufacturing data systems and enabling rapid decision support at scale.
What You'll Do
Architect and deliver multi-agent AI systems using the A2A (Agent-to-Agent) protocol, including orchestrator and sub-agent topologies that span multiple factory data sources.
Build and maintain MCP (Model Context Protocol) servers in Python, containerized with Docker and deployed on VMs and Kubernetes clusters; register agents and MCP servers.
Integrate LLM inference into factory workflows; manage LiteLLM project credentials, budgets, and routing configurations.
Develop agent tools that query manufacturing databases (MES, FDC, APC, OEE, etc.) and expose clean interfaces for downstream AI consumption.
Design, evolve, and influence the Agent Delivery Framework.
Establish and document agentic software development best practices; create reusable agent templates adopted across business teams.
Build and maintain Knowledge Graph and RAG systems (Neo4j, Vectara) to enable document and parametric data retrieval across thousands of manufacturing documents and records.
Collaborate with multiple departments, domain architects, and factory engineers to identify high ROI agent use cases, prioritize delivery, and ensure agents meet security and authentication requirements.
Present architecture roadmaps and live agent demos to peers and senior manufacturing leadership.
Contribute to cross-domain AI access and guardrails governance strategy.
Minimum Qualifications:
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Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field.
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4+ years of software engineering experience, with at least 2 years focused on AI/ML systems or LLM application development.
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Proficiency in Python and experience containerizing applications with Docker.
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Hands-on experience building or integrating with REST API backends and asynchronous service architectures.
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Strong communication skills — able to translate complex AI architecture decisions for non-technical manufacturing stakeholders.
Preferred Qualifications:
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Experience with multi-agent AI frameworks, agent orchestration patterns, or the MCP (Model Context Protocol) specification.
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Familiarity with LiteLLM, Open Web UI, or similar LLM proxy/routing platforms.
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Experience deploying workloads on Kubernetes (K8s) or cloud-adjacent enterprise platforms.
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Working knowledge of graph databases (Neo4j) and vector search systems (Vectara, pgvector, or equivalent).
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Prior exposure to semiconductor or discrete manufacturing data systems (MES, FDC, SPC, SCADA, APC) is a strong plus.
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Experience with workflow automation tools (e.g. Airflow) and CI/CD pipelines (Bitbucket, Jenkins, or equivalent).
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Master's degree or equivalent industrial AI research experience.
- Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
- We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
- Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field.
- 4+ years of software engineering experience, with at least 2 years focused on AI/ML systems or LLM application development.
- Proficiency in Python and experience containerizing applications with Docker.
- Hands-on experience building or integrating with REST API backends and asynchronous service architectures.
- Strong communication skills to translate AI architecture decisions for non-technical stakeholders.
Texas Instruments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Texas Instruments and has not been reviewed or approved by Texas Instruments.
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Strong & Reliable Incentives — Profit sharing and annual bonuses are portrayed as a meaningful, formula-linked upside that can materially lift total earnings in strong years. An employee stock purchase plan with a discount further reinforces recurring, wealth-building incentives.
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Retirement Support — A 401(k) match is described as a stable core benefit, with some references to additional legacy employer contributions and even pension-like elements for certain cohorts. This framing positions long-term savings support as a notable part of the overall rewards package.
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Healthcare Strength — Medical coverage is depicted as broadly comprehensive, with preventive care and access to HSA/FSA features cited as value-adds. Company-seeded HSA contributions are repeatedly characterized as an important offset to the plan design for those enrolled.
Texas Instruments Insights
What We Do
Texas Instruments develops semiconductor and computer technology for cellular handsets, digital signal processors and analog semiconductors. Texas Instruments has been making progress possible for decades. We are a global semiconductor company that designs, manufactures, tests and sells analog and embedded processing chips. Our more than 80,000 products help over 100,000 customers efficiently manage power, accurately sense and transmit data and provide the core control or processing in their designs, going into markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. Our passion to create a better world by making electronics more affordable through semiconductors is alive today as each generation of innovation builds upon the last to make our technology smaller, more efficient, more reliable and more affordable – opening new markets and making it possible for semiconductors to go into electronics everywhere. We think of this as Engineering Progress. It’s what we do and have been doing for decades. Learn more https://news.ti.com/index.cfm
