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Texas Instruments

Data Scientist (Manufacturing/Facilities)

Texas Instruments Dallas, TX, United States 3 hours ago
Embedded & Systems Software

Model Context Protocol (MCP) and agent-to-agent (A2A) protocols.

About the role

Smart Manufacturing and Automation (SMA) at Texas Instruments is seeking a Data Scientist to build production-grade anomaly detection, forecasting systems, and Agentic AI solutions for facilities and manufacturing operations. The role focuses on extracting signal from complex sensor, equipment, and semiconductor process data across a global operational footprint.

What you'll do

  • Develop and deploy anomaly detection, predictive maintenance, and forecasting models against equipment sensor data, facility operations data, and manufacturing process signals.
  • Design and deploy Agentic AI solutions leveraging emerging frameworks such as Model Context Protocol (MCP) and agent-to-agent (A2A) protocols to create composable data analysis workflows.
  • Design and implement end-to-end ML pipelines with disciplined testing, clean architecture, and rigorous version control practices.
  • Define and drive technical strategy for time series analytics and enterprise AI deployment across global manufacturing and facilities operations.
  • Mentor data scientists and engineers through technical guidance, model reviews, and knowledge sharing.

What you'll need

  • Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field.
  • 5+ years of experience as a Data Scientist working with time series and time studies data within the semiconductor, manufacturing, or facilities domain.
  • Demonstrated experience deploying enterprise-scale Agentic AI solutions across a large organization.
  • Deep proficiency in Python and SQL for data processing, feature engineering, and ML model development.
  • Hands-on experience with time series methods including anomaly detection, forecasting, and signal processing (e.g., ARIMA, Prophet, LSTM, Isolation Forest, deep learning, or equivalent).
  • Experience with MLOps practices including model versioning, monitoring, and CI/CD for ML pipelines.

Nice to have

  • Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field.
  • Proven track record of leading efforts to deploy and scale enterprise-wide Agentic AI solutions in a manufacturing or industrial setting.
  • Familiarity with semiconductor fab operations, facilities systems, equipment maintenance processes, or ESH data.
  • Experience with CMMS (Computerized Maintenance Management Systems), Supervisory Control and Data Acquisition systems (SCADA), or semiconductor facilities equipment data.
  • Hands-on experience with agentic frameworks, MCP, A2A, or LLM integration in production systems.
  • Strong foundation in statistics and experimental design for validating model performance in operational environments.
  • Experience training, mentoring, or leading others.

Skills: time series data, anomaly detection, forecasting, Agentic AI, MLOps, semiconductor manufacturing

More semiconductor jobs: Texas Instruments jobs · Software engineer jobs · Dallas jobs

Market context

This role has been open 80 days — well above the 65-day median for Software Engineering Semiconductor roles.

Software Engineering Semiconductor · AI ML Hardware

Open roles in category
156
Median days open
65 d
Category median salary (all employers)
$188k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How Texas Instruments compares in Software Engineering Semiconductor hiring
Metric Texas Instruments All employers we track in this specialty (156 roles · 44 employers)
Open roles in this specialty 2 156
Open roles in the wider Software, Firmware & Systems family 36 6363 · 147 employers
Median days open 62 d 65 d (−3 d vs this employer)
Median salary (USD postings) — $188k

Skills observed across this category: time series data, anomaly detection, forecasting, Agentic AI, MLOps, semiconductor manufacturing

Who's hiring in this category

  • NVIDIA · 26 open roles · median 215 d
  • Micron Technology · 24 open roles · median 48 d
  • Qualcomm · 20 open roles · median 203 d
  • Infineon Technologies · 12 open roles · median 48 d
  • AMD · 8 open roles · median 65 d
  • Arm Holdings · 4 open roles · median 1 d

How we counted: 156 open Software Engineering Semiconductor (AI ML Hardware) roles from 44 employers tracked in the SemiconductorJobs index, counted 29 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.

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Dallas, TX, United States
On-site
3 hours ago

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