Senior Software Engineer

Senior Software Engineer- Data & AI for Workflow Innovation in Barco Control Rooms @BarcoBCR (Barco Control Rooms)

The Barco Control Rooms business unit is making workflow and visualization solutions for the Control Room market since 1994 to help operators collect, visualize and share critical information for optimal mission-critical decision making. Today, we are still the number one choice for control room professionals who want to stay on top of their situational awareness with 12,000+ installations for critical infrastructure and critical operations.

Senior Software Engineer - Data & AI for Workflow Innovation @ Barco

We are seeking a hands-on Data & AI Engineer to join the Barco CTRL Workflow Innovation team and help build a new AI-driven product from the ground up. The ideal candidate must have strong experience in GCP and cloud-native services, with proven experience in data engineering, data pipelines, and applying AI/ML engineering to production product features. You will work with a globally distributed team to design and develop scalable, secure, and reliable production-ready data and AI capabilities that enable automation and intelligent workflows for Barco Control Rooms.

##

About the Role

As a Senior Software Engineer - Data & AI in the Workflow Innovation team, you will contribute to the design and development of AI-driven product capabilities for Barco Control Rooms. This role requires the ability to understand product data, extract meaningful insights, and apply AI/ML engineering to create intelligent, workflow-focused features. You will collaborate with cloud partners, product owners, architects, developers, and validation teams across locations to build scalable, reliable, and secure capabilities that transform control room workflows and deliver meaningful customer outcomes.

• Collaborate with cloud partners, product owners, architects, developers, and validation teams across locations to define and build data and AI product capabilities.

• Design and develop cloud-native data and AI capabilities on GCP, with focus on scalability, reliability, security, and maintainability.

• Design and implement AI capabilities spanning cloud and Edge AI deployments, including model optimization, inference workflows, and hybrid cloud-edge architectures where operational requirements demand local intelligence.

• Work with product data to identify patterns, opportunities, and use cases where AI/ML can improve workflow efficiency, automation, and decision support.

• Apply AI/ML engineering practices to build and integrate intelligent features into production product capabilities.

• Contribute to data modelling, data quality, governance, and secure handling of data across product features.

• Apply DevOps practices, including Git workflows, CI/CD, test automation, and release readiness.