Originally posted 20 July 2026 by the employer. Relisted by the employer on 12 November 2026.
About the role
Texas Instruments is seeking an AI/ML Engineer for the Smart Manufacturing and Automation team to develop and deploy multi-agent solutions and machine learning systems for manufacturing and engineering operations. The role focuses on delivering data, analytics, and AI applications that enhance quality and test operations across semiconductor manufacturing sites.
What you'll do
- Architect end-to-end ML pipelines combining structured and unstructured data, leveraging LLMs, RAG, agents, and multi-agent systems for manufacturing challenges.
- Architect LLM-based solutions including RAG systems, agentic workflows, and MCP integrations with prompt engineering and multi-step reasoning.
- Design ML workflows that operate across segregated relational and NoSQL database systems, optimizing pipelines for real-time and batch processing.
- Rapidly prototype and scale proof-of-concept systems into production with monitoring, retraining pipelines, and drift detection.
- Own deployment lifecycles using DevOps practices including CI/CD, containerization, and infrastructure management.
- Mentor junior engineers, establish standards for testing and documentation, and conduct technical code reviews using Git and JIRA workflows.
What you'll need
- Bachelor's degree in Computer Science, Software Engineering, Computer Graphics Technology, Electrical Engineering, Computer Engineering, or a related field of study.
- 5+ years of applied ML engineering experience building, deploying, and maintaining production systems.
- Hands-on experience building with LLMs, prompt engineering, RAG systems, agents, multi-agent orchestration, and familiarity with Model Context Protocol (MCP) patterns.
- Experience with production ML lifecycle tasks, including model versioning, monitoring, retraining pipelines, and drift detection.
- Proficiency writing clean, testable Python code along with Git/GitHub workflows, JIRA tracking, CI/CD, and agile development methodologies.
- Working familiarity with relational and NoSQL databases, data pipeline optimization, and structured versus unstructured data handling.
Nice to have
- Prior experience with IoT, manufacturing execution systems (MES), or connected factory environments.
- Familiarity with semiconductor fab operations, yield optimization, defect detection, process control, or equipment diagnostics.
- Experience designing and optimizing multi-agent LLM systems, agent communication patterns, and task decomposition.
- Experience with streaming data, online learning, or low-latency inference for operational real-time ML systems.
- Expertise in feature stores, experiment tracking, model governance, or regulatory compliance in manufacturing.
Skills: AI/ML solutions, ML pipelines, GenAI & LLMs, computer vision, production ML
More semiconductor jobs: Texas Instruments jobs · AI chip design jobs · Richardson jobs
First seen in our index 115 days ago, slightly above the 108-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
467
|
Median days since first seen
108 d
|
Category median salary (all employers)
$237k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Texas Instruments | All employers we track in this specialty (467 roles · 73 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 467 |
| Open roles in the wider Software, Firmware & Systems family | 43 | 6618 · 158 employers |
| Median days since first seen | 145 d | 108 d (−37 d vs this employer) |
| Median salary (USD postings) | n/a | $237k |
Skills observed across this category: AI/ML solutions, ML pipelines, GenAI & LLMs, computer vision, production ML
Who's hiring in this category
- NVIDIA · 108 open roles · median 86 d
- Qualcomm · 94 open roles · median 133 d
- AMD · 21 open roles · median 126 d
- Mobileye · 15 open roles · median 100 d
- Analog Devices · 14 open roles · median 49 d
- Micron Technology · 13 open roles · median 57 d
How we counted: 467 open AI/ML Hardware Engineering (AI ML Hardware) roles from 73 employers tracked in the SemiconductorJobs index, counted 12 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.