The Position As a Workload Orchestration Engineer within the Accelerated Compute Engineering (ACE) team, you will be responsible for overseeing and advancing our workload orchestration tech stack across both our High-Performance Computing (HPC) and industry-leading AI Factory platforms. With the rapid expansion of our compute infrastructure, efficiently scheduling, managing, and maximizing the utilization of our CPU and GPU environments is paramount. You will own the deployment, configuration, and fine-tuning of orchestration platforms that schedule massive, parallel computational workloads. By implementing robust scheduling policies for traditional scientific workflows and modern containerized AI workloads, you will bridge the gap between heavy compute capacity and efficient execution. Your work will directly ensure that Roche’s researchers, data scientists, and engineers can seamlessly run large-scale AI model training and computational science simulations at scale.




Description of the area Hosting and Infrastructure (HI) provides mission-critical on-premise infrastructure, cloud hosting, connectivity, and technology products that enable all functions at every Roche site to develop, innovate, connect, and deliver compliant digital products across the Roche Enterprise.
The Value Streams - Accelerated Compute Engineering (ACE) Team is focused on driving both customer success and platform success by acting as a center of excellence and delivery for the High Performance Compute and AI Infrastructure supporting AI and HPC use cases across Roche. This team facilitates seamless onboarding and adoption for business vertical customers needing accelerated compute—helping those infrastructure consumers with needs optimized for high availability, seamless data

📌 Workload Orchestration Engineer (Madrid)
🏢 F. Hoffmann-La Roche
📍 Madrid