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Senior Metrology and Data Engineer for AR Masters
Компания: NIL Technology
Город: Vantaa
**Be part of shaping next-generation optical technologies**
Join NILT as a Senior Metrology and Data Engineer, where you will play a central role in developing and fabricating high‑precision AR masters for customers around the globe. In this position, you will have excellent opportunities to grow your technical capabilities within advanced metrology, nanofabrication and process optimization—while contributing to a rapidly expanding, international high‑tech company.
You will be based at our state-of-the-art cleanroom site in Vantaa, just a few kilometers north of Helsinki, Finland. As part of the Mastering team, you will collaborate closely with colleagues across Finland, Denmark, Sweden, and Switzerland. Our culture is collaborative, innovative, and quality‑driven, with a strong focus on precision, knowledge sharing, and continuous learning.
**You will be part of an ambitious company where we win together. Team spirit and mutual success are key components in our everyday work culture.**
**Tasks and responsibilities**
**Manage metrology activities and analysis**
You perform and coordinate metrology activities utilizing AFM, ellipsometry, and other characterization methods. You ensure accurate data capture and effective analysis to support process and production decisions.
**Support process development**
You collaborate with production and development engineers to design and evaluate experiments and translate experimental findings into repeatable production solutions.
**Define metrology strategies for new fabrication processes**
You work with production and development engineers to select appropriate characterization techniques, establish sampling strategies and ensure metrology readiness for new fabrication processes.
**Define process windows and production specifications**
You translate experimental results, process characterization and capability studies into clear process windows, product specifications and manufacturing requirements.
**Own process control and capability monitoring**
You develop SPC methodologies, monitor process performance through statistical tools and capability metrics. You identify trends, shifts and sources of variation before they impact quality.
**Drive automation projects**
You identify and implement opportunities to automate data collection, analysis and reporting workflows, improving efficiency, data quality and decision-making.
**Skills, experiences and qualifications we are looking for**
* MSc (minimum) in Engineering, Physics, Materials Science, Data Science, Applied Mathematics, or similar.
* Strong analytical and problem-solving mindset.
* Hands-on experience with AFM, SEM, ellipsometry, and optical inspection.
* 5+ years of cleanroom experience working in advanced manufacturing environments such as semiconductors, optics, or other high-technology industries.
* Experience translating complex data into practical engineering recommendations.
* Excellent collaboration and communication skills across multiple locations.
* Strong understanding of statistical analysis, DOE, SPC, process capability analysis and root cause investigation methods.
* Knowledge of measurement system analysis, calibration practices and data quality principles.
* Experience analyzing manufacturing datasets using tools such as Python, JMP, Minitab, MATLAB, or equivalent is considered an advantage.
* Experience with automation, scripting or dashboard development is considered an advantage.
* Fluent in English.
**Salary**
The salary range for this position is EUR 6,200 – 7,000 per month, depending on experience, seniority and qualifications.
**Questions** You are welcome to reach out to: Henri Jussila, Team Lead,
**Interested?**
Please forward your CV and application letter incl. answers to the 2 questions below, no later than
19 November 2026. We look forward to hearing from you.
**1\. Key experience #1**
Describe an example where you used metrology and process data to investigate a challenging process or process deviation or to improve process performance, yield, quality, or productivity. How did you approach the investigation, and what was the technical or business impact?
**2\. Key experience #2**
Describe an example where you worked with a large, complex, or varied dataset. How did you structure and analyze the data? Did you use any scripting or automate the data analysis? How did the outcome support engineering or production decisions?
**_About NIL Technology_**
_NIL Technology (NILT), founded in 2006, is an optical solutions company designing, developing, and manufacturing optical elements and components using high-precision nanoscale features. NILT creates competitive advantages with flat optics (meta-optics) in optical applications for 3D sensing, consumer electronics, machine vision, autonomous vehicles, telecommunication, and AR. With its background in mastering and nanoimprint, the company produces masters and offers nano-foundry services. NILT is based in Denmark and has offices in Switzerland, Sweden, Finland, US, and a manufacturing in Malaysia. NILT is owned by Radiant Opto-Electronics Corporation. NILT is owned by Radiant Opto-Electronics Corporation (www.radiant.com.tw). Visit us at www.nilt.com_