Vision System Data Science Engineer (all genders) - AT-Villach (2911), Austria
Originally posted 25 September 2026 by the employer.
About the role
This role involves designing, developing, and programming methods to analyze unstructured and diverse big data into actionable insights, focusing on vision systems. You will build scalable machine learning and deep learning models using image, video, and multimodal sensor data.
What you'll do
- Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.
- Build scalable machine learning and deep learning models using image, video, and multimodal sensor data.
- Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring.
- Develop robust image-processing pipelines utilizing modern computer vision frameworks and cloud technologies.
- Conduct root-cause analysis and use advanced analytics to improve yield, process stability, and equipment performance.
- Design, develop, and maintain production-grade Python applications, libraries, and data science solutions following established software engineering best practices.
What you'll need
- Bachelor's or Master's degree in Data Science, Computer Science, Industrial Engineering, Applied Mathematics, or a related field.
- Minimum of 5 years of related experience with a Bachelor’s degree, or 3 years with a Master’s degree, or equivalent work experience.
- Proven experience developing, deploying, and managing predictive maintenance or machine learning models in production environments.
- Strong expertise in Docker and containerized application deployment.
- Project management skills, including the ability to translate strategic objectives into structured work packages and executable plans.
- Experience with large-scale data processing, data modeling, data warehousing, and data engineering concepts.
Nice to have
- Knowledge of optical systems, cameras, sensors, and imaging hardware.
- Expert-level proficiency in Python, statistical modeling, machine learning, and data visualization.
- Working knowledge of PowerShell, R, SQL, and database technologies.
- Experience developing and implementing artificial intelligence solutions and advanced analytics applications.
- Familiarity with cloud-based analytics platforms, MLOps practices, and software development lifecycle management.
- Experience leading data science projects in semiconductor environments.
Skills: computer vision algorithms, machine learning, deep learning models, image-processing pipelines, Python
This role has been open 1 day — well below the 39-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI EDA Design
|
Open roles in category
101
|
Median days open
39 d
|
Median salary
$171k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Lam Research | All employers we track in this specialty (101 roles · 31 employers) |
|---|---|---|
| Open roles in this specialty | 6 | 101 |
| Open roles in the wider Software, Firmware & Systems family | 72 | 5833 · 143 employers |
| Median days open | 14 d | 39 d (−25 d vs this employer) |
| Median salary (USD postings) | — | $171k |
Skills observed across this category: computer vision algorithms, machine learning, deep learning models, image-processing pipelines, Python
Who's hiring in this category
- Micron Technology · 14 open roles · median 24 d
- Applied Materials · 13 open roles · median 44 d
- KLA Corporation · 12 open roles · median 31 d
- Keysight Technologies · 7 open roles · median 18 d
- Lam Research (this employer) · 6 open roles · median 13 d
- Cadence Design Systems · 5 open roles · median 24 d
How we counted: 101 open Software Engineering Semiconductor (AI EDA Design) roles from 31 employers tracked in the SemiconductorJobs index, counted 27 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.