Jobs / United States / Cellink Corporation
Vision Engineer
Cellink Corporation · 🇺🇸 Georgetown, TX
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Cellink Corporation paid sponsored hires in similar roles5 certified filings for “Process Engineer” (Industrial Engineers) in TX: $100k–$125k, median $112k. Most were filed at wage level II (60%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Cellink Corporation
The US Department of Labor certified 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Cellink Corporation →
About the role
The Vision Engineer is responsible for designing, developing, deploying, and sustaining advanced machine vision and automated inspection systems used in CelLink’s manufacturing processes. This position combines expertise in industrial machine vision, computer vision, artificial intelligence/machine learning, and software development to create scalable inspection and process-monitoring solutions that improve product quality, yield, equipment performance, and manufacturing efficiency. The Vision Engineer develops both traditional rule-based and AI-enabled vision applications, including the software, algorithms, data pipelines, interfaces, and system integrations required to deploy these solutions in a high-volume manufacturing environment. Essential Duties & Responsibilities • Design, develop, deploy, and optimize machine vision and computer vision systems, including cameras, optics, lighting, image acquisition, calibration, image-processing algorithms, inspection logic, measurement, defect detection, classification, and automated pass/fail decisions. • Develop production software and applications supporting vision and inspection systems using languages and technologies such as Python, C#, C++, SQL, APIs, databases, and related development frameworks; maintain robust source control, testing, documentation, deployment, and software revision practices. • Develop and deploy AI/ML-based computer vision solutions for defect detection, anomaly detection, classification, measurement, and process monitoring, including data preparation, model training, validation, deployment, performance monitoring, and continuous improvement. • Integrate vision systems and software with manufacturing equipment and factory systems, including PLCs, motion systems, MES, databases, SPC, traceability systems, and other production data platforms to enable automated decisions, data collection, analytics, and closed-loop process improvement. • Own vision system performance throughout the equipment lifecycle, including requirements development, vendor technical reviews, FAT/SAT, commissioning, qualification, troubleshooting, root-cause analysis, false reject/false accept reduction, documentation, training, and sustained production support. Minimum Qualifications • BS in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Mechatronics, Robotics, Optical Engineering, or a related technical field. • 3+ years of hands-on experience developing, integrating, or supporting industrial machine vision, automated optical inspection, computer vision, or image-processing systems in a manufacturing or automation environment. • Hands-on experience with industrial cameras, lenses, lighting, image acquisition, calibration, and image-processing techniques. • Programming experience using Python, C#, C++, or similar languages for machine vision, automation, or manufacturing applications. • Experience troubleshooting automated equipment and integrating vision systems with industrial controls, PLCs, or production equipment. Preferred Qualifications • Experience developing production software using Python, C#, C++, SQL, or similar technologies. • Experience with software architecture, APIs, databases, source/version control, automated testing, and deployment practices. • Experience with computer vision frameworks and libraries such as OpenCV, PyTorch , TensorFlow, or equivalent technologies. • Experience developing, training, validating , and deploying AI/ML models for industrial computer vision applications. • Experience with industrial vision platforms such as Cognex, Keyence, Basler, Teledyne, Omron, or similar systems. • Experience integrating software and vision applications with PLCs, MES, databases, SPC, traceability, and manuf