Texas Instruments

Makes analog and embedded chips in its own plants

Lab Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeDallas, TX, USANo salary listedIn-person

About the Job

Requirements

At least 5 years of experience in semiconductor validation, test, or application support.
At least 5 years of experience in automated software development.
Proven expertise in designing and deploying fully automated bench validation platforms that integrate hardware, software, and instruments.
Strong understanding of analog and mixed-signal circuits and advanced lab instrumentation.
Strong system-level debugging skills and the ability to influence cross-functional stakeholders.

Responsibilities

Guide and define the direction for validation technology, creating reusable hardware and software solutions that scale across business units.
Partner with Business Units, validation/test councils, TTS, IT, and other organizations to align lab engineering with long-term product strategy.
Develop remote-capable, compact, low-cost-of-ownership solutions designed for high-volume deployment.
Oversee development and scaling of common software infrastructure and modern, high-throughput frameworks using Python, while maintaining LabVIEW and TestStand environments.
Own the roadmap for operational tools and processes, implementing solutions for asset management, equipment utilization, and automated tracking in bench and test environments.
Lead deployment of specialized setups and platforms for EMC/EMI, space radiation, and data center testing.
Lead integration of AI and machine learning into validation, including agentic bench platforms and advanced data analytics.
Build the digital and physical infrastructure for TI validation.
Lead the transition toward AI-augmented engineering and high-throughput automation.
Scale specialized testing capabilities in EMC, space, and data center testing across the global footprint.
Optimize operations by turning complex challenges into streamlined, automated processes.

Desired Qualifications

Experience managing engineering teams.
Proficiency in Python and experience with LabVIEW and TestStand.
Knowledge of EMC testing standards, including CISPR 25, CISPR 32, and IEC ESD, and of space radiation testing.
Experience developing advanced data analytics using Spotfire, post-processing algorithms, or machine-learning-driven tools.
Proven ability with emerging AI technologies, including LLMs, prompt engineering, and machine learning, to address validation, test, and data challenges.
Knowledge of functional or system-level testing for automotive and industrial segments.

Are you ready to influence and shape the future of semiconductor validation?
TI is looking for a visionary Lab Engineering Manager to lead a high-impact, multi-vector engineering organization. This is not a traditional lab management role; you will be the technical and strategic engine driving efficiency, automation, and cutting-edge technology across the entire company. As a leader in this central team, you will bridge the gap between hardware excellence and software intelligence, influencing business units across Analog and Embedded to redefine how TI validates the next generation of technology.

About the job:

Lead & Innovate: Guide and define the direction for validation technology, creating innovative, reusable hardware and software solutions that scale across multiple business units
Collaborate & Influence: Work as a key execution partner with the Business Units, validation/test councils, TTS, IT and other orgs to align lab engineering with TI’s long-term product strategy
Drive Scalability: Move beyond simple support to create "low cost of ownership" solutions that are remote-capable, compact, and designed for high-volume, high-impact deployment

Impact you will make:

Software Infrastructure & Frameworks: Lead the evolution of the validation community’s digital backbone; you will oversee the development and scaling of common software infrastructure, transitioning the community toward modern, high-throughput frameworks using Python and maintaining robustLabVIEW/TestStand environments
Operational Excellence & Tooling: Own the roadmap for operational tools and processes; you will drive the "Smart Lab" vision—implementing intelligent solutions for asset management, equipment utilization, and automated tracking to make the entire GDL organization more operationally efficient in bench and test environments
Key Technology Vector Leadership: Act as the primary enabler for TI’s most critical testing requirements; you will lead the deployment of specialized setups and platforms that empower teams to tackle complex challenges in EMC/EMI, space radiation, and data center testing
AI Strategy & Digital Transformation: Serve as the AI strategy driver for the validation community; you will lead the integration of AI/ML into the lab loop—from developing agentic bench platforms to implementing advanced data analytics—creating opportunities to influence AI adoption across the entire company

Responsibilities include:

Building the digital and physical infrastructure that defines the future of TI validation
Leading the transition toward AI-augmented engineering and high-throughput automation
Scaling specialized testing capabilities (EMC, Space, Data Center) across our global footprint
Optimizing how we work by turning complex operational challenges into streamlined, automated processes

Minimum Requirements:

5+ years of experience in semiconductor validation, test, or application support
5+ years of experience in automated software development
Proven expertise in designing and deploying fully automated bench validation platforms (integrating hardware, software, and instruments)
Strong understanding of analog and mixed-signal circuits and advanced lab instrumentation
Exceptional system-level debugging skills and a "big picture" thinker capable of influencing cross-functional stakeholders
A passion for driving broad, scalable impact within a complex, global organization

Preferred Qualifications:

Experience managing engineering teams
Advanced programming: Proficiency in Python and experience with LabVIEW and TestStand
Specialized standards: Intimate knowledge of EMC testing standards (CISPR 25, 32, IEC ESD, etc.) and space radiation testing
Data intelligence: Experience developing advanced data analytics using Spotfire, post-processing algorithms, or ML-driven tools
AI fluency: Proven ability in emerging AI technologies; you possess the technical intuition to move from standard automation to AI-augmented engineering, utilizing LLMs, prompt engineering and machine learning to solve complex validation, test and data challenges
Domain expertise: Knowledge of functional/system-level testing for Automotive and Industrial segments

About the Company

Texas Instruments

Makes analog and embedded chips in its own plants

Texas Instruments designs and makes analog and embedded processing chips, the basic parts inside cars, factory equipment, data centers, and consumer electronics, and it sells one of the broadest chip catalogs in the industry. In 1958, its engineer Jack Kilby built the first integrated circuit, the building block of modern electronics, and later won a Nobel Prize for it. Its analog chips regulate power and convert signals such as sound and heat into data, while its microcontrollers act as small built-in computers, and TI earns money selling both to device makers. It also makes the graphing calculators many students use in math class. Texas Instruments was founded in 1930 and is based in Dallas, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Dallas, TX
Founded: 1930

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