Jobs / United States / Cellink Corporation
Manufacturing Software 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 Manufacturing Software team builds the systems that keep the Georgetown facility running, including equipment management, real-time process data, quality alerts, and the dashboards operators and engineers rely on throughout every shift. This software operates directly on the factory floor, shaping real-time decisions and directly influencing the metrics that matter most: throughput, yield, and uptime. This role owns that scope end to end, from the APIs and data pipelines that bring information off the line, to the web applications Process Engineering and Equipment Engineering use to configure alerts and monitor performance in real time. The ideal candidate delivers quickly, navigates ambiguity effectively, and works closely with the engineers who depend on this software every day. This is not a typical enterprise software role. It is the software backbone of how CelLink manufactures flexible circuits at scale, and this work will directly shape how efficiently and reliably that manufacturing operates. Essential Duties and Responsibilities • Design, develop, and deploy full-stack manufacturing applications using modern front-end frameworks (React) and scalable back-end services that support factory operations. • Build and maintain real-time manufacturing systems and dashboards for SPC, OEE, throughput, availability, yield, and quality, including configurable alerts and proactive monitoring. • Architect APIs, data models, and event-driven systems that integrate factory equipment, PLCs, sensors, computer vision systems, MES platforms, and other business systems. • Develop real-time data pipelines using streaming technologies such as Kafka, MQTT, WebSockets, REST, and gRPC to transform machine and process data into actionable operational insights. • Partner with Controls, Process, Equipment, Manufacturing, and Quality Engineering teams to define data requirements, integrate new equipment, and validate manufacturing data flows. • Design and implement validation, testing, and observability solutions to ensure production systems, equipment integrations, and data pipelines operate reliably and accurately. • Lead projects from requirements gathering and solution architecture through implementation, deployment, support, and continuous improvement. • Troubleshoot and resolve issues across software, infrastructure, machine, and PLC layers to minimize downtime and improve manufacturing performance. • Develop automation, predictive maintenance, anomaly detection, computer vision, and AI-driven solutions that improve throughput, yield, uptime, and engineering productivity. • Evaluate and deploy emerging manufacturing technologies, including AI agents, LLM workflows, edge AI, and digital twin technologies to drive operational excellence. • Establish engineering standards, documentation, code quality practices, and scalable operational processes for manufacturing software systems. • Collaborate closely with factory operations and plant leadership to rapidly deliver solutions that solve real-world manufacturing challenges. Minimum Qualifications (Knowledge, Skills, and Abilities) • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Mechatronics, or equivalent practical experience. • 3+ years of professional software engineering experience building and supporting production systems. • Strong programming skills in one or more of the following: Go, Python, C#, TypeScript, or Java, with the ability to learn new technologies quickly. • Experience developing and owning full-stack applications, including modern web front ends, back-end services, APIs, and databases. • Experience with industrial automation environments, including PLCs, control systems, equipment integration, and machine data collect