Manufacturing Quality Engineer

Change the world. Love your job.

Texas Instruments is looking for an energetic engineer with a passion for quality, who enjoys helping others to succeed by providing team members and clients with support in a positive and professional work environment. This position provides the opportunity to drive continual improvement at all levels. Our quality team is primarily focused on driving improved systems and tools and providing a consistent and positive relationship with our business partners. We are searching for a self-directed, highly motivated engineer to join our team.

This is an excellent opportunity to gain exposure to, and develop expertise in working across teams inside and outside of one of Texas Instruments' fabs. The selected candidate will be given assignments and projects that are meaningful, challenging and that provide an outstanding experience, while contributing to the success of Texas Instruments.

Responsibilities include:

• Quality Continuous Improvement – proactively identify, lead and execute quality improvement projects to systemically improve baseline area quality performance in achieving Zero-Defect target by structurally performing risk assessment, eliminating systemic quality risks and implementing firewall and system control.
• Automotive Quality – act as primary custodian of IATF 16949 Standards and VDA 6.3 Process Audits Requirement, ensuring all manufacturing controls are fully compliant.
• Problem Solving – leading area Quality Improvement Team (QIT) in resolving customer returns or internal quality events through comprehensive 8D methodology and data-driven root cause analysis tools (eg. 3x5 Whys, Fault Tree Analysis, Is/ Is-Not…)
• Containment & Disposition – responsible on quality event containment scoping, risk assessment, material disposition (including coordinate Material Review Board (MRB)) and production recovery.
• Quality Core Tools – Extensive knowledge and experience in APQP, PPAP, FMEA, CP, MSA & SPC
• Statistical Outlier Control – establish, maintain and optimize robust outlier detection mechanisms driving LRR and Signal-to-Noise improvements; Advanced Six Sigma analytical tools such as ANOVA, Design of Experiments (DOE) to resolve complex/ multi-variable quality issues.
• Support new product introduction (NPI) qualification by ensuring quality requirements are incorporated from beginning.