Artificial Intelligence Engineer
About TI
As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.
About the Job
The AI Engineer will drive implementation of artificial intelligence and machine learning solutions to enhance semiconductor back-end manufacturing operations. The role will involve close collaboration with manufacturing teams, data scientists, product and process engineers to identify opportunities and implement AI-driven solutions that improve operational efficiency, quality, and yield.
This position requires a strong understanding of AI/ML technologies, experience with semiconductor manufacturing, and a passion for applying data-driven techniques to solve complex industrial problems.
Responsibilities include:
Collaborate with cross-functional teams and domain experts to identify opportunities for AI integration in workflows.
Analyze and preprocess large datasets from manufacturing equipment, sensors, and logs to enable effective machine learning applications.
Lead proof-of-concept projects and pilot programs to demonstrate the value of AI applications in manufacturing settings.
Develop and deploy AI/ML models for defect detection, yield improvement, process optimization, and predictive maintenance in semiconductor back-end manufacturing processes.
Provide technical documentation, training, and support to ensure seamless adoption of AI solutions by production teams.
Monitor AI systems performance and implement enhancement.
Stay updated with the latest advancements in AI/ML and propose innovative solutions applicable to semiconductor manufacturing.
Set up and manage AI development and production infrastructure.
Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
Build data ingest and data transformation infrastructure.
Identify transfer learning opportunities and new training datasets.
Build AI models from scratch and help product managers and stakeholders understand results.
Deploy AI models into production.
Create APIs and help business customers put results of your AI models into operations.
Keep current of latest AI research relevant to our business domain.
Collaborate with Data Analytics team to integrate and implement large scale data solutions.
Participate in fast-paced prototyping to identify improvement opportunities in manufacturing systems.
Qualifications
Minimum requirements:
Bachelor’s degree in computer science, Data Science, Engineering or a related field.
Strong programming skills in Python, R, or equivalent languages.
Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience in Data Analytics, AI vision or Gen-AI.
Experience in deploying machine learning models in production environments, including edge devices or cloud-based systems.
Excellent analytical and problem-solving skills and ability to work collaboratively in a cross-functional team.
Strong verbal and written communication skills.
Preferred qualifications:
Bachelor's degree in Artificial Intelligence, Machine Learning or related disciplines, preference for those with experience of 3+ years.
Knowledge of advanced computer vision techniques, such as deep learning for image classification, segmentation and object detection.
Experience with AI model explainability, trustworthiness, and validation in industrial contexts.
Experience with relational databases (PostgreSQL, Oracle, MySQL) and real-time data handling
- Hands-on experience with REST API design and development.
Knowledge of semiconductor back-end manufacturing processes, including assembly, packaging, and testing.
Experience in working with semiconductor manufacturing data, including sensor data, equipment logs, and MES data.
Familiarity with data analysis tools and techniques.
Proven track record of publications, patents, or conference presentations in AI/ML applications for manufacturing.
Added Advantage:
Knowledge of semiconductor manufacturing process or equipment.
Knowledge in sensors, drivers and encoder will be an added advantage.
- Knowledge with CI/CD pipeline, containerized deployments.
- Experience with Kubernetes (K8s), CI/CD pipelines (Jenkins, GitLab CI), and production deployment on Linux server environments.
Familiarity with Data Processing Tools (Kafka, Spark, Apache Nifi, Dataiku).
Familiarity with No-SQL databases (Cassandra, Mongo, HDFS).
Familiarity with software engineering tools (JIRA, Jenkins, Git/Bitbucket, Confluence).
Excellent knowledge of algorithms and data structures.
About Us
- 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. Please find our country-specific benefits here
Skills Required
- Bachelor's degree in Computer Science, Data Science, Engineering or related field
- Strong programming skills in Python, R, or equivalent languages
- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience in Data Analytics, AI vision or Gen-AI
- Experience deploying machine learning models in production environments, including edge devices or cloud-based systems
- Excellent analytical and problem-solving skills and ability to work collaboratively in a cross-functional team
- Strong verbal and written communication skills
- Bachelor's degree in Artificial Intelligence, Machine Learning or related disciplines; preference for 3+ years experience
- Knowledge of advanced computer vision techniques (classification, segmentation, object detection)
- Experience with AI model explainability, trustworthiness, and validation in industrial contexts
- Experience with relational databases (PostgreSQL, Oracle, MySQL) and real-time data handling
- Hands-on experience with REST API design and development
- Knowledge of semiconductor back-end manufacturing processes (assembly, packaging, testing)
- Experience working with semiconductor manufacturing data (sensor data, equipment logs, MES data)
- Proven track record of publications, patents, or conference presentations in AI/ML for manufacturing
- Knowledge of sensors, drivers and encoders
- Experience with CI/CD pipeline, containerized deployments; Kubernetes, Jenkins, GitLab CI; production deployment on Linux
- Familiarity with Data Processing Tools (Kafka, Spark, Apache Nifi, Dataiku)
- Familiarity with No-SQL databases (Cassandra, Mongo, HDFS)
- Familiarity with software engineering tools (JIRA, Jenkins, Git/Bitbucket, Confluence)
- Excellent knowledge of algorithms and data structures
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
