Yield Engineer

About the Role

3DGS is hiring a Yield Engineer to find and eliminate defects and process variations that limit die yield at our Albuquerque wafer fab. This role involves turning inline, electrical test, and sort data into root causes and corrective actions to raise output and lower cost per good die. You will collaborate with process, integration, equipment, and test engineering teams.

• Location: Albuquerque, NM (on-site)
• Job type: Full-time, exempt

Key Responsibilities

• Own yield for assigned products or technologies, tracking line, die, and final test yield against targets.
• Analyze wafer sort bin maps, spatial signatures, and parametric (WAT/PCM) data to isolate yield detractors.
• Correlate electrical failures to inline defect inspection, metrology, and tool history using commonality analysis.
• Lead root cause investigations on yield excursions, then drive corrective and preventive actions with process and equipment owners.
• Define defect inspection and review sampling plans; classify killer defects and set defect density limits.
• Run split lots and DOEs to verify fixes and quantify yield gain.
• Build and maintain yield models and Pareto loss charts to prioritize improvement work.
• Automate reports and dashboards using SQL, Python, or yield management software.
• Present yield status, loss breakdowns, and improvement roadmaps to fab and product leadership.

Requirements & Tech Stack

• Bachelor's degree in Chemical Engineering, Mechanical Engineering, Materials Science, Physics, or Chemistry.
• Strong statistical analysis skills, including SPC, DOE, hypothesis testing, and regression.
• Proven structured problem solving, such as 8D or 5 why’s.
• Clear communication of technical findings to engineers and management.
• Must be a US citizen.

Preferred Qualifications

• Familiarity with defect inspection and review tools (brightfield, darkfield, e-beam, SEM review).
• Understanding of device physics and parametric test structures.
• Experience with failure analysis techniques and working with FA labs.
• Background in new product introduction (NPI) or technology ramp to high volume.
• Machine learning or advanced analytics applied to manufacturing data.
• Hands-on experience analyzing large manufacturing datasets with JMP, SQL, Python, or similar tools.

Work Environment & Physical Requirements

This role splits time between the cleanroom and the office. In the cleanroom, you will wear full gowning (bunny suit, gloves, hood, safety glasses) for extended periods.

• Stand and walk for several hours at a time and lift up to 25 lb (11 kg).
• Follow strict safety and chemical handling procedures, including work near hazardous gases, chemicals, and high-voltage equipment.