Advanced Manufacturing Data Engineer (Richardson, TX)

Key Skills

Algorithms, Apache Hadoop, Data Engineering, Data science techniques, Effective communication skills, Machine learning techniques, MapReduce, PostgreSQL, SPARK Programming, SQL, Writing

Job Description

Texas Instruments is seeking an accomplished Industrial engineer/Data Engineer with strong technical experiencer to join our growing North Texas regional 300mm Industrial Engineering and Advanced Data Analytics team.

Do you have experience in advanced data analytics, software development and data science? Do you want to work for an organization that values your opinion? Do you want to work for an organization where you can play a pivotal role in several different areas? Do you want to be part of an organization that is driving the future of advanced smart manufacturing? Look no further. Texas Instruments (TI) is looking for a qualified Industrial and Data Engineer to support and drive our growing advanced 300mm manufacturing operations. Here’s your opportunity to work in a vibrant and dynamic team-oriented environment with exposure to a variety of state-of-the art applications each day.

Responsibilities include:

• Enable everyday experimentation & insights extraction on petabytes of semiconductor manufacturing data (time series, images, audio, etc.)
• Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches
• Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for semiconductor manufacturing operations. Interacts across the organization to identify questions and issues for data analysis and experiments
• Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
• Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers
• Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements

If you're ready to take your career to the next level and be at the forefront of technological advancement, TI is the place for you. Join us in shaping the future of smart manufacturing and make your mark on the industry. You will have opportunities to learn new skill sets and being mentored by industry leaders. In our organization, we believe in thinking outside the box and exercising your creative abilities to help solve complex, dynamic and fluid problems.

Are you up for the challenge? Apply now and let's innovate together!

Qualifications

Minimum Requirements:

• Bachelor's degree in mathematics, applied statistics, data engineering, data science, industrial engineering, a relevant technical field, or equivalent
• 2 years of work experience in analytics, data querying (SQL: PostgreSQL, MySQL, redshift, big query), data manipulation using distributed analytics and process technologies (Hadoop, Spark, Hive, MapReduce, Databricks), and scripting languages (Python, R, Julia)
• Familiarity with statistics such as Bayesian, parametric, non-parametric, or experiment design
• Solid understanding of software development concepts, principles, and theories such as object-oriented programming, functional programming, unit tests, test driven design, DRY, abstraction, modularity, clean interfaces, domain driven design, etc.
• Familiarity with common machine learning libraries for implementation such as sklearn, TensorFlow, torch, etc.

Preferred Qualifications:

• 2 years of work experience in solving problems using quantitative methodologies, data-driven projects from idea to full implementation (architectural design, experimentation, metrics definition, communicating progress, driving progress, etc.)
• Ability to establish strong relationships with key stakeholders critical to success, both internally and externally
• Strong verbal and written communication skills
• Ability to quickly ramp on new systems and processes
• Demonstrated strong interpersonal, analytical and problem-solving skills
• Ability to work in teams and collaborate effectively with people in different functions
• Ability to take the initiative and drive for results
• Strong time management skills that enable on-time project delivery
• Experience building and evaluating ML models that operate on raw sensor data (detection, classification, tracking)
• Experience building and evaluating ML models that operate on image data (detection, classification, tracking)
• Familiarity with ML platforms such as data robot, dataiku, Alteryx
• Experience in Semiconductor manufacturing operations

About Us

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

Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.

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.

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.