Model-based Optimization Manager - Texas Instruments
Dallas, TX
About the Job
Description
We can't predict what the future holds, but we know Texas Instruments will have a part in shaping it.
About the role:
Our charter is to accelerate data driven decision making to drive cost leadership in semiconductor manufacturing. The role is centrally located within IT in support of our manufacturing engineers and enterprise operational teams. Our team owns the entire manufacturing data domain for the company
+ You will be leading a highly technical team of six to ten application developers, system architects, and data scientists supported by an adjacent team of data engineers
+ The application developers on the team build algorithms / user interfaces / solver engines, integrate vendor tools, and consume curated data for the purpose of capacity modeling across our factories
+ The data scientists on the team study, design, and deploy machine learning models and generative AI for applications in anomaly detection, internal chatbots (LLM, RAG), material movement optimization, capacity modeling, image processing, and event prediction
+ The system architect brings it all together aligning your strategic vision to tangible implementation of solutions that drive business outcomes
Roles and duties
+ We are seeking a technical leader who is:
+ passionate about the state of the art in: data science, manufacturing, data, advanced analytics, simulation, modeling (both in the AI / ML context as well as a general aptitude), and radically simple, top-down architecture
+ capable of finding the right balance in solutions using data, software, and analytics (statistics, AI/ML)
+ able to set the strategic direction and validate pragmatic usage of AI / ML proposed by the team on a case-by-case basis
+ In this role, you will be expected to:
+ understand the user’s problem statement and ensure that our applications/models run smoothly and meet stakeholder’s needs
+ participate in the architecture and design of the solution, research the domain, oversee the team as they build / train / test the appropriate ML pipelines
+ work with our team of data engineers to integrate data, and deploy the model(s) into production environments
+ work with manufacturing leaders and subject matter experts ensuring solutions can be deployed, monitored (for drift), interdict the tools in real time, and are easy to maintain for the long term
+ In this role, your team is expected to use techniques and platforms such as:
+ NN, GNN, RAG, LoRA, RL, RLHM, Gen-AI, LLM, deep learning, classification, K-means clustering, PCA, correlation analysis
+ Python, numpy, pandas, Dataiku, linear programming, operations research, Optimization, linear algebra, min-max, Markov chain, Simplex method, Design structure matrix
+ Monte carlo simulation, stochastic simulation, non-deterministic simulation
+ Data mesh / fabric / scaled architectures, big data analytics and analysis, signal theory
+ Modeling methods and platforms: Siemens, PlantSim, AMAT AutoMod, AMAT Factory Planning
+ DataOps, MLOps, MLdevOps
Qualifications
Minimum Requirements:
+ Bachelor’s degree
+ 5 years of relevant professional experience
Preferred Qualifications:
+ MS degree in Data Science
+ BS degree in one or more of: Industrial Engineering, Electrical Engineering, Software Engineering, Mathematics, Finance, Economics, or Computer Science
+ 2 years as a technical leader of a data science team
+ 2 years as an individual contributor doing applied AI or ML or advanced analytics
+ 5 years’ experience in application/software development or extensive use of Python
+ Experience in semiconductor manufacturing (fabrication, assembly, test)
+ Experience in material movement and real time dispatch and scheduling
+ Optimization experience in one or more of the following: capacity modeling, linear programming, operations research
Why TI?
+ 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.
About Texas Instruments
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.
_Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws._
_If you are interested in this position, please apply to this requisition._
Status Regular
Job: Information Technology
Primary Location: US-TX-Dallas
Work Locations: Dallas > South Campus Dallas
Req ID: 240006EW
We can't predict what the future holds, but we know Texas Instruments will have a part in shaping it.
About the role:
Our charter is to accelerate data driven decision making to drive cost leadership in semiconductor manufacturing. The role is centrally located within IT in support of our manufacturing engineers and enterprise operational teams. Our team owns the entire manufacturing data domain for the company
+ You will be leading a highly technical team of six to ten application developers, system architects, and data scientists supported by an adjacent team of data engineers
+ The application developers on the team build algorithms / user interfaces / solver engines, integrate vendor tools, and consume curated data for the purpose of capacity modeling across our factories
+ The data scientists on the team study, design, and deploy machine learning models and generative AI for applications in anomaly detection, internal chatbots (LLM, RAG), material movement optimization, capacity modeling, image processing, and event prediction
+ The system architect brings it all together aligning your strategic vision to tangible implementation of solutions that drive business outcomes
Roles and duties
+ We are seeking a technical leader who is:
+ passionate about the state of the art in: data science, manufacturing, data, advanced analytics, simulation, modeling (both in the AI / ML context as well as a general aptitude), and radically simple, top-down architecture
+ capable of finding the right balance in solutions using data, software, and analytics (statistics, AI/ML)
+ able to set the strategic direction and validate pragmatic usage of AI / ML proposed by the team on a case-by-case basis
+ In this role, you will be expected to:
+ understand the user’s problem statement and ensure that our applications/models run smoothly and meet stakeholder’s needs
+ participate in the architecture and design of the solution, research the domain, oversee the team as they build / train / test the appropriate ML pipelines
+ work with our team of data engineers to integrate data, and deploy the model(s) into production environments
+ work with manufacturing leaders and subject matter experts ensuring solutions can be deployed, monitored (for drift), interdict the tools in real time, and are easy to maintain for the long term
+ In this role, your team is expected to use techniques and platforms such as:
+ NN, GNN, RAG, LoRA, RL, RLHM, Gen-AI, LLM, deep learning, classification, K-means clustering, PCA, correlation analysis
+ Python, numpy, pandas, Dataiku, linear programming, operations research, Optimization, linear algebra, min-max, Markov chain, Simplex method, Design structure matrix
+ Monte carlo simulation, stochastic simulation, non-deterministic simulation
+ Data mesh / fabric / scaled architectures, big data analytics and analysis, signal theory
+ Modeling methods and platforms: Siemens, PlantSim, AMAT AutoMod, AMAT Factory Planning
+ DataOps, MLOps, MLdevOps
Qualifications
Minimum Requirements:
+ Bachelor’s degree
+ 5 years of relevant professional experience
Preferred Qualifications:
+ MS degree in Data Science
+ BS degree in one or more of: Industrial Engineering, Electrical Engineering, Software Engineering, Mathematics, Finance, Economics, or Computer Science
+ 2 years as a technical leader of a data science team
+ 2 years as an individual contributor doing applied AI or ML or advanced analytics
+ 5 years’ experience in application/software development or extensive use of Python
+ Experience in semiconductor manufacturing (fabrication, assembly, test)
+ Experience in material movement and real time dispatch and scheduling
+ Optimization experience in one or more of the following: capacity modeling, linear programming, operations research
Why TI?
+ 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.
About Texas Instruments
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.
_Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws._
_If you are interested in this position, please apply to this requisition._
Status Regular
Job: Information Technology
Primary Location: US-TX-Dallas
Work Locations: Dallas > South Campus Dallas
Req ID: 240006EW
Source : Texas Instruments
