About the role
3DGS is hiring a Yield Engineer to find and eliminate the defects and process variations that limit die yield at our Albuquerque wafer fab. You will turn inline, electrical test and sort data into root causes and corrective actions that raise output and lower cost per good die.
You will collaborate with team team, working between process, integration, equipment and test engineering.
Location: Albuquerque, NM (on-site)
Level: 0-5 years of experience
Job type: Full-time, exempt
What you'll do
- 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.
Required qualifications
- 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.
What we offer
- Compensation: Based on experience, sign-on bonus or paid relocation and equity.
- Benefits: Medical, dental and vision coverage, IRA, paid time off and holidays, tuition assistance and relocation support.
- Impact: Direct visibility into how your work moves fab output and product margins.
- Relocation: support available for qualified candidates.
Work environment and 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.
Reasonable accommodations are available for qualified individuals with disabilities.
3DGS participates in E-Verify to confirm employment eligibility.
https://www.everify.gov/sites/default/files/everify/posters/IER_RightToWorkPoster%20Eng_Es.pdf
https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
Skills Required
- Bachelor's degree in Chemical Engineering, Mechanical Engineering, Materials Science, Physics, or Chemistry
- Strong statistical analysis skills, including SPC, DOE, hypothesis testing, and regression
- Structured problem-solving experience, such as 8D or 5 Whys
- Clear communication of technical findings to engineers and management
- Must be a US citizen
- Familiarity with defect inspection and review tools, including brightfield, darkfield, e-beam, or SEM review
- Understanding of device physics and parametric test structures
- Experience with failure analysis techniques and FA laboratories
- Background in new product introduction or technology ramp to high volume
- Machine learning or advanced analytics applied to manufacturing data
- Experience analyzing large manufacturing datasets with JMP, SQL, Python, or similar tools
What We Do
3D Glass Solutions provides customers complete glass-enabled systems integration services.
