Ocotillo Technology Fabrication Yield Device Integration Engineer
Listed on 2026-07-22
-
Engineering
Quality Engineering, Process Engineer, Manufacturing Engineer
Job Details
Job Type: Experienced Hire
Shift: Shift 1 (United States of America)
Primary
Location:
US, Arizona, Phoenix
- Drive the factory to produce transistor and discrete electronic devices that perform according to strictly defined specifications.
- Collaborate with Module, Integration, and Yield engineers to perform process modifications to produce material that meets quality, reliability, cost, yield, and performance requirements.
- Strictly control the initial quality metrics at the end-of-line (EOL) to screen and disposition material prior to sort and class testing.
- Perform extensive analyses to determine specific root causes of discrepant device performance.
- Continuously improve quality, reliability, cost, and yield using a feedback loop through Integration and Module engineers to address targeting, variability reduction, and containment of poorly performing line segments.
- Develop solutions to challenging technical problems using solid‑state physics, statistics, and formal problem‑solving methodologies.
- Independently identify improvement opportunities and drive implementation.
- Summarize complex problems using formal problem‑solving strategies and communicate technical reasoning, project timelines, and help needed to senior leaders.
- Engage with senior leaders from multiple teams such as product engineers, assembly test engineers, and technology development engineers to implement process improvement opportunities.
- Effectively run meetings at all levels of the organization to solve problems as a team and communicate progress to senior leaders.
Minimum Requirements
- Master’s of Science in Electrical Engineering, Physics, Material Science, or related STEM field AND 3+ years relevant experience in the semiconductor industry.
- Ph.D. in Electrical Engineering, Physics, Material Science, or related STEM field.
- Experience in semiconductor process integration, yield engineering, process development, or technology development.
- Strong understanding of FEOL and/or BEOL manufacturing processes.
- Demonstrated experience in project execution, including design of experiments (DOE) and process improvement, in areas of yield improvement, defect reduction, or process capability enhancements in a production environment.
- Proficiency in statistical analysis methods including DOE, SPC, Cp/Cpk analysis, and root‑cause methodologies.
- Experience supporting technology qualification, manufacturing ramp, and high-volume production.
- Demonstrated ability to lead complex technical projects across multiple engineering disciplines.
- Comprehensive understanding of device physics, semiconductor processing, familiarity with failure analysis techniques.
- Basic coding/scripting ability in JSL, SAS, or Python.
- Experience in data extraction, statistical process control, statistical data analysis and interpretation, familiarity with statistical software packages such as JMP or Minitab, and familiarity with DOE techniques.
- Familiarity with latest machine learning tools applied to process and device analysis to accelerate root cause determination.
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
Annual Salary Range for jobs which could be performed in the US: $– USD. The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
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