About This Role

Smart Manufacturing and Automation (SMA) at Texas Instruments is looking for a Sr./Lead Data Scientist who can fundamentally change how facilities operations leverage data. This role sits at the intersection of deep time series expertise and enterprise-scale AI deployment . You will work directly with operational teams to extract signal from complex sensor, equipment, and process data, build production-grade anomaly detection and forecasting systems, and drive the adoption of Agentic AI solutions across a global organization spanning semiconductor manufacturing, facilities operations, and engineering.

This role is not about building models in isolation. It involves solving problems in complex operational environments, earning the trust of domain experts, and deploying intelligent systems that scale.

About You

You are an experienced data scientist energized by ambiguous, high-stakes problems. You can walk into a room with facilities engineers and operations specialists, ask the right questions, and leave with a clear picture of what needs to be modeled. You do not just build models - you understand the operational problem deeply enough to know when a simpler statistical approach beats a complex neural network.

You are self-directed. You find anomaly patterns others miss, propose forecasting solutions before anyone asks, and take ownership of outcomes from data exploration through production deployment. You stay current with emerging technologies - including agentic AI frameworks and large language model tooling - not because it is trendy, but because you know how to apply them where they genuinely move the needle in a manufacturing environment.

What You'll Do

Analyze and Model Time Series Data

• Engage directly with operational and engineering stakeholders to understand, map, and extract value from complex time series data - translating domain expertise into reliable, production-grade models
• Develop and deploy anomaly detection, predictive maintenance, and forecasting models against equipment sensor data, facility operations data, and manufacturing process signals
• Design and implement end-to-end ML pipelines that reduce manual analysis effort and increase operational decision quality at scale

Build with Engineering Excellence

• Build scalable, maintainable data science solutions with clean architecture, disciplined testing, and rigorous version control practices
• Design and deploy Agentic AI solutions leveraging emerging frameworks such as Model Context Protocol (MCP) and agent-to-agent (A2A) protocols to create intelligent, composable data analysis workflows
• Apply strong ML engineering fundamentals to ensure models are robust, extensible, and production-grade across distributed manufacturing environments

Lead and Elevate

• Define and drive technical strategy for time series analytics and enterprise AI deployment - setting standards and identifying platform-level opportunities that compound impact over time
• Lead enterprise-wide Agentic AI initiatives from proof of concept through scaled production deployment across TI's global manufacturing and facilities organization
• Mentor data scientists and engineers, elevating team capability through technical guidance, model reviews, and knowledge sharing
• Proactively identify and self-initiate improvements beyond assigned scope, bringing a continuous improvement mindset to every model and system you build

Change the world. Love your job.

Do you want to work for an organization that values your opinion? Do you want to work for an organization where you can play a pivotal role in several different areas? Look no further. As a Texas Instruments Equipment Engineer, you will have the opportunity to work in a vibrant and dynamic team oriented environment.

Responsibilities include:

• Evaluating, selecting, and ordering equipment that is most appropriate and cost effective for the manufacture of company products
• Overseeing the installation, modification, upgrade and maintenance of manufacturing equipment
• Keeping current on equipment manufacturers' technical notices, upgrades and safety issues
• Studying equipment performance and reliability
• Establishing programs and solutions for increasing uptime and for equipment problems that affect the manufacturing process
• Providing technical support to the manufacturing equipment repair and process engineering organizations
• Defining and writing preventative maintenance schedules

Change the world. Love your job. 
We are seeking a highly motivated and versatile engineer to join our dynamic Current Sensing product line that develops cutting edge Shunt and Hall based mixed signal current sensing ICs.  As a key member of our team, you will play a vital role in all phases of IC development, from architectural development, design, DV, tapeout and bring-up.  This position offers a unique opportunity to develop expertise in both digital and mixed-signal domains.

Job Responsibilities:

• Design & Implementation: Contribute to the full IC development lifecycle, including RTL design, synthesis, place and route, scan pattern generation, and timing analysis.
• Verification: Develop and implement robust, scalable verification methodologies for mixed-signal ICs, including testbench creation and automation using DMS and AMS stimulus and checkers.
• Test Development:  Create comprehensive test plans, tests, and simulations at RTL and gate levels using SystemVerilog (SV), VHDL, and the UVM environments.
• Collaboration & Problem Solving:  Work closely with design and system teams to define Design for Verification (DFV) architectures, triage and resolve bugs, and ensure first-pass silicon success.
• Coverage & Reporting: Drive verification coverage to meet defined goals, track progress, and communicate status, issues, and risks effectively.
• Continuous Improvement and Automation: Develop and contribute to the evolution of our DV strategy, tools, scripts and methodologies to improve quality, efficiency and automation.