Reliability Engineer — AI-Driven Semiconductors (CAP)

Texas Instruments

Bouchard (TX)

On-site

USD 110,000 - 140,000

Full time

29 hours ago
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Job summary

Texas Instruments is seeking a Reliability Engineer to join the Career Accelerator Program (CAP). This 12-month development path focuses on accelerating ramp time with formal training and hands-on learning to drive reliability from development through end-of-life.

You will partner with technology, packaging, and development teams to ensure long-term product performance and robust design choices. The role emphasizes data-driven decision-making, AI-enabled reliability analytics, and adherence to

Qualifications

  • PhD in Electrical Engineering or related degree.
  • Cumulative 3.0/4.0 GPA or higher.

Responsibilities

  • Drive reliability performance across the product lifecycle from development to end-of-life.
  • Collaborate with technology, packaging, and development teams to assess product quality and long-term reliability.
  • Evaluate how designs, materials, and manufacturing processes impact product launch and sustained field performance.
  • Define requirements for components and systems and validate them through reliability testing.
  • Recommend optimizations in component selection and processes.
  • Champion best engineering practices, advanced statistical process controls, and AI tools.
  • Ensure products meet company, customer, and industry reliability standards through cross-functional collaboration.

Skills

Data-driven decisions
Problem-solving
Technical communication
Project management
Interpersonal skills

Education

PhD in Electrical Engineering or related degree
GPA 3.0/4.0 or higher

Job description

Texas Instruments is seeking a Reliability Engineer to join the Career Accelerator Program (CAP). This 12-month development path focuses on accelerating ramp time with formal training and hands-on learning to drive reliability from development through end-of-life.

You will partner with technology, packaging, and development teams to ensure long-term product performance and robust design choices. The role emphasizes data-driven decision-making, AI-enabled reliability analytics, and adherence to

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