Texas Instruments

AI/ML Engineer

Texas Instruments$100K — $140K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field
  • 5+ years of AI/ML experience with proven impact
  • Knowledge of computer vision techniques and frameworks
  • Hands-on experience with generative AI and LLMs
  • Familiarity with relational and NoSQL database systems
  • Proficient in software engineering practices including Git/GitHub and agile methodology

Responsibilities

  • Develop end-to-end ML workflows for structured and unstructured data
  • Contribute to LLM-based features and document experiments
  • Collaborate with data engineers on optimizing data architectures
  • Build proofs of concept for manufacturing-related ML applications
  • Deploy and monitor ML models, ensuring performance reliability
  • Write production-ready code adhering to coding standards

Benefits

  • Opportunity to lead digital transformation initiatives
  • Access to cutting-edge AI-assisted development tools
  • Collaborative environment with senior engineers and cross-functional teams
  • Emphasis on hands-on execution and rapid skills development
  • Possibility to work on revolutionary projects in smart manufacturing
Full Job Description
Job Description

About the job:
Texas Instruments is looking for a Sr. AI/ML engineer who is experienced with developing and deploying AI/ML solutions at scale. This role is critical to accelerating our digital transformation through rapid development of quality and test solutions using cutting-edge development techniques. The position offers the opportunity to revolutionize how our Smart Manufacturing and Automation team builds software while establishing best practices and scaling development capabilities across the organization.

We're seeking a Machine Learning Engineer with solid foundational expertise to develop and deploy intelligent solutions across our smart manufacturing platform. What sets this role apart: you'll leverage cutting-edge AI-assisted development platforms -Claude Code, GitHub Copilot, Cursor, and emerging agentic framework-to dramatically accelerate your development velocity while building production-grade ML systems. You'll collaborate with senior engineers and cross-functional teams to translate manufacturing challenges into scalable ML applications that directly impact manufacturing quality and test operations. This role emphasizes hands-on execution, rapid iteration, and learning: you'll build features that matter while growing your expertise in both ML engineering and AI-amplified development practices.

Key Responsibilities
  • Develop ML pipelines - implement end-to-end ML workflows combining structured and unstructured data; build data modeling for MFG data correlation inline and end of line data, feature engineering, training, and inference pipelines under technical guidance
  • Work with GenAI & LLMs - contribute to LLM-based features including RAG systems, prompt engineering, and agentic workflows; experiment with different approaches and document learnings
  • Collaborate on data architecture - work with data engineers to design and optimize data pipelines across our database systems; understand trade-offs between different storage architectures; integrate structured and unstructured data sources
  • Build and prototype solutions - develop POCs for manufacturing problems; translate requirements into ML experiments; contribute to productionization of models with appropriate monitoring and testing
  • Deploy and monitor models - participate in end-to-end deployment; own model monitoring, retraining pipelines, and performance tracking; troubleshoot production issues with senior engineers
  • Write quality code - develop production-ready code with testing and documentation; follow Git workflows, JIRA tracking, and agile practices; participate in code reviews and learn from feedback


Qualifications

Minimum Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Computer Graphics Technology, Electrical Engineering, Computer Engineering or related field of study
  • 5+ years of AI/ML experience - proven experience developing and deploying ML solutions with measurable impact
  • Computer Vision basics - working knowledge of image processing and computer vision techniques (classification, detection, or anomaly detection); experience with at least one CV framework
  • Generative AI exposure - hands-on experience with LLMs, prompt engineering, or RAG systems; familiarity with OpenAI, Anthropic, or similar APIs; curiosity about multi-agent systems
  • Database & data pipeline knowledge - working familiarity with relational and NoSQL databases; experience building or optimizing data pipelines; understanding of structured vs. unstructured data handling
  • Software engineering practices - proficiency with Git/GitHub, JIRA, issue tracking; ability to write clean, testable Python code; familiarity with agile development and CI/CD concepts

Preferred Requirements
  • Smart Manufacturing- prior work with IoT, manufacturing execution systems (MES), or connected factory environments
  • Advanced AI/ML capabilities - experience building with LLMs or generative AI APIs; familiar with prompt engineering and AI workflow optimization
  • Manufacturing or industrial domain exposure - familiarity with manufacturing environments, IoT systems, or operational processes; any exposure to semiconductor or discrete manufacturing
  • Production ML experience - experience deploying models to production; understanding of model versioning, monitoring, or retraining pipelines
  • DevOps & containerization - hands-on experience with Docker, Kubernetes, or cloud deployment (AWS, GCP, Azure); basic CI/CD pipeline knowledge
  • Multi-agent or advanced GenAI projects - exposure to agent frameworks, LangChain, or similar tools; experience with more complex LLM workflows beyond single-turn prompts


About the Team

TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

About Texas Instruments

National Semiconductor is a semiconductor manufacturer, specializing in analog devices and subsystems, headquartered in Santa Clara, California. The products of National Semiconductor include power management circuits, display drivers, audio and operational amplifiers, communication interface products and data conversion solutions. National's key markets include wireless handsets, displays and a variety of broad electronics markets, including medical, automotive, industrial, and test and measurement applications.

Texas Instruments Careers

Join the innovative world of Texas Instruments, a global leader in semiconductor design and manufacturing. As part of our team, you will be at the forefront of technological advancement, working alongside the brightest minds in the industry.

Opportunities at Texas Instruments

Whether you're seeking your first internship or a seasoned professional position, Texas Instruments offers a range of job opportunities designed to empower your career growth and development. Our commitment to innovation and diversity is reflected in every aspect of our business, from the ground up.

Work You’ll Do

At Texas Instruments, you will contribute to projects that revolutionize technology and have a global impact. Our team members lead the way in semiconductor innovation, pushing the boundaries of what's possible in electronics and beyond.

Join Our Team

Explore a career where your skills will be honed through unparalleled opportunities for professional and personal growth. Texas Instruments is not just about hiring; it's about nurturing leadership and fostering a culture of collaboration and innovation.

Innovate and Grow

Our employees are encouraged to take bold steps in their career paths, supported by our industry-leading training programs and development resources. With a focus on continuous improvement and leadership development, Texas Instruments ensures that your career trajectory is always upward.

Diversity and Inclusion

We believe that a diverse team is a strong team. Diversity training and inclusive culture are at the heart of our employment strategy, ensuring that all team members feel valued and can contribute their unique perspectives.

Benefits and Culture

Texas Instruments is committed to providing benefits that enhance the lives of our employees and their families. From health and wellness to financial and retirement planning, our benefits package is designed to support a balanced, fulfilling life both at and outside of work.

Networking and Professional Development

Advance your career through networking opportunities within Texas Instruments and our broader industry connections. Our collaborative environment encourages the sharing of ideas and best practices, which leads to greater innovation and personal career success.

Internships and Early Career Programs

Kickstart your career with a Texas Instruments internship. You’ll gain hands-on experience, learn from experts, and begin to shape your future in a supportive, dynamic environment. Our interns work on real projects that matter, gaining skills that are crucial for future full-time positions.

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Learn more about Texas Instruments
Size
31,000 employees
Market Cap
$148.9 billion
Industry
Net Income
$5.5 billion
Founded
1930
5 Year Trend
+6.5%
Revenue
$14.4 billion
NASDAQ

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