GDL Lab Engineering Manager

Texas Instruments•Dallas, TX

About The Position

Texas Instruments is seeking a Lab Engineering Manager to lead a high-impact, multi-vector engineering organization focused on semiconductor validation. The role provides technical and strategic leadership for validation technology, efficiency, automation, and scalable solutions across Analog and Embedded business units. It bridges hardware engineering and software capabilities and works with business units and other organizations to align lab engineering with long-term product strategy. The manager will lead the evolution of common software infrastructure and validation frameworks, advance operational tools and the Smart Lab vision, and enable specialized testing for EMC/EMI, space radiation, and data center requirements. The role also drives AI strategy and digital transformation for the validation community, including AI/ML integration, agentic bench platforms, and advanced data analytics. The position focuses on building digital and physical infrastructure, scaling capabilities globally, and streamlining operational processes.

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 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.
  • Exceptional system-level debugging skills.
  • Ability to think at a system level and influence cross-functional stakeholders.

Nice To Haves

  • Experience managing engineering teams.
  • Proficiency in Python and experience with LabVIEW and TestStand.
  • Intimate 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 solve validation, test, and data challenges.
  • Knowledge of functional or system-level testing for Automotive and Industrial segments.

Responsibilities

  • Guide and define the direction for validation technology by creating innovative, reusable hardware and software solutions that scale across multiple business units.
  • Partner with Business Units, validation/test councils, TTS, IT, and other organizations to align lab engineering with TI’s long-term product strategy.
  • Develop low-cost-of-ownership solutions that are remote-capable, compact, and suitable for high-volume deployment.
  • Lead the development and scaling of common software infrastructure and modern, high-throughput validation frameworks using Python, while maintaining LabVIEW and TestStand environments.
  • Own the roadmap for operational tools and processes, including Smart Lab solutions for asset management, equipment utilization, and automated tracking.
  • Lead the deployment of specialized setups and platforms for EMC/EMI, space radiation, and data center testing.
  • Drive AI strategy for the validation community, including integrating AI/ML into lab workflows, developing agentic bench platforms, and implementing advanced data analytics.
  • Build the digital and physical infrastructure that defines the future of TI validation.
  • Lead the transition toward AI-augmented engineering and high-throughput automation.
  • Scale specialized testing capabilities across the global organization.
  • Turn complex operational challenges into streamlined, automated processes.
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