Job Title: Manufacturing Yield & Device Analytics Engineer
Reports to: Process Engineering Manager
Location: San Marcos, Texas

About this role
You will be responsible for tracking, optimizing, analyzing, and sustaining manufacturing performance to directly improve operational efficiency, product quality, yield performance,
and cost-effectiveness. This role completely bridges physical manufacturing fundamentals with advanced analytical problem-solving, deep process capability analysis, and massive
data-driven decision-making. The ideal candidate behaves like an analytical sleuth: leveraging manufacturing data trends, statistical analysis, and process validation to drive
yield optimization, eliminate waste, and deliver concrete process capability statistics back to design engineering to establish realistic manufacturing design rules.

What good is a job without great benefits to reward your hard work?
What We Have To Offer:
• Competitive Base
• Medical/Dental/Vision insurance on day 1 of employment
• Health Saving Account (HSA) with Employer contribution
• Employee Assistance Program
• 401(k) retirement plan and match program
• Long Term Disability (Employer Paid)
• Short Term Disability (Employer Paid)
• Paid Time Off (eligible after 90 days of employment)
• Sick Leave (eligible after 90 days of employment)
• Company Paid Holidays

What You'll Be Doing:
Yield Enhancement & Data Analytics
• Drive Yield Improvement: Utilize data analytics and statistical methodologies to proactively identify process variation, pinpoint production inefficiencies, and execute
targeted yield improvement and waste reduction opportunities.
• Statistical Performance Tracking: Analyze high-volume manufacturing data trends, SPC metrics, scrap rates, equipment downtime, cycle times, and overall yield
performance to spearhead continuous improvement initiatives.
• Lead Advanced DOE: Direct complex Design of Experiments (DOE) activities to establish robust process windows, stabilize process robustness, and achieve
challenging process capability targets.
• Predictive Performance Modeling: Develop predictive and preventive improvement strategies through analytical modeling and process performance evaluation.
Design Rule & Cross-Functional Alignment
• Define Manufacturing Design Rules: Deliver precise process capability numbers and statistical performance metrics to Design Engineering to help define, refine, and
enforce realistic design rules for optimal manufacturing scaling.
• Cross-Functional Collaboration: Collaborate cross-functionally with Production, Quality, Supply Chain, and Operations teams to instill a culture of rigorous, data-based
decision-making across the organization.
• Root Cause Diagnostics: Apply advanced root cause analysis methodologies (including 8D, 5 Whys, Fishbone, Pareto Analysis, and full CAPA implementation) to
diagnose sudden process disruptions or quality events.
Sustaining & Smart Manufacturing Optimization
• Quality & Regulatory Compliance: Ensure all yield-enhancement initiatives and process changes conform to company Quality Management Systems (QMS),
supporting ongoing compliance with ISO 9001 and automotive standards.
• Support Digitization & Industry 4.0: Support manufacturing digitization, automation, and smart factory initiatives to improve process consistency and unlock deep
operational visibility.
• Equipment Capacity Evaluation: Evaluate manufacturing equipment performance, capacity limitations, tool utilization, and baseline process efficiency.
• Product Cost Analytics: Conduct thorough product cost analyses including labor touch-time, machine utilization, scrap generation, cycle time, and process-related
cost drivers.

Documentation & Risk Assessment:

Update and maintain critical Process FMEAs (PFMEAs), Control Plans, and process risk assessments based on ongoing yield data analysis.

We are Looking for Someone Who:
Core Requirements
• Education: Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Electrical Engineering, Materials Science, or a highly related
technical field.
• Experience: 3-7+ years of experience in high-precision manufacturing, process engineering, device engineering, or yield analysis environments.
• Analytical Mastery: Exceptional analytical, statistical modeling, and data interpretation skills.
• Statistical Tooling Background: Deep hands-on experience utilizing SPC, process capability analysis, complex DOE, and statistical problem-solving methodologies.
• Root Cause Expertise: Highly proficient in rigorous root cause analysis and corrective/preventive action implementation.
• Core Manufacturing Fundamentals: Strong working knowledge of manufacturing systems, production optimization, KPI tracking (yield, scrap, OEE, throughput), and
Lean/Six Sigma principles.

Preferred Qualifications (Nice-to-Have)
• Device / Yield Engineering Background: Prior experience as a Device Engineer, Yield Engineer, or Yield Analytics Specialist within a semiconductor fabrication or
advanced precision electronics environment is highly advantageous.
• Data Visualizations & Tools: Advanced Excel skills, with strong experience utilizing Minitab, Power BI, SQL, JMP, or equivalent manufacturing data analysis software.
• Smart Factory Experience: Experience supporting automated equipment, manufacturing digitization, or Industry 4.0 initiatives.
• Certifications: Lean Six Sigma Green Belt or Black Belt certification is a major asset.
• Automotive Core Quality: Familiarity with APQP, PPAP, FMEA, and Control Plan methodologies.

Work Environment:
• Able to move up to 20lbs.
• Prolonged periods sitting at a desk and working on a computer.
• Can wear PPE.
• Is capable of making repetitive movements, including, but not limited to, sitting,
squatting, and walking up and down stairs.