Senior Cloud Engineer
Join our cutting-edge start-up adventure!
Who are we?
Join the Revolution in GNSS and IoT Connectivity
At Qualinx, we’re not just building chips, we’re engineering the future fabric of the connected world. As a pioneering semiconductor scale-up, we’re transforming how devices connect, communicate, and operate through our ground-breaking Digital RF technology. Our mission goes beyond ultra-low power GNSS: we’re redefining what’s possible in adaptive, scalable, and intelligent connectivity for the Internet of Things.
Born from deep-tech innovation at TU Delft, our team of visionary engineers and bold thinkers is tackling the toughest challenges in GNSS and IoT, starting with power consumption and expanding into dynamic, context-aware solutions that adapt to any environment or use case. We’ve already achieved what many thought impossible: the world’s most advanced GNSS chipset. But that’s just the beginning.
At Qualinx, we believe that the future of connectivity lies in precision, efficiency, and adaptability. Our ambition is to become the invisible thread that seamlessly interconnects billions of devices: powering a smarter, more responsive world.
What Sets Us Apart
Joining Qualinx is about becoming part of a culture that’s as ambitious as it is authentic. We hold ourselves to high standards, thrive on solving the unexpected, and push boundaries together. But we also know how to enjoy the ride. Our culture is a unique blend of curiosity, team spirit, and a touch of unconventional charm. It’s fast-paced, fun, and grounded in a sober sense of purpose and perspective. Whether we’re deep in design reviews or sharing laughs over lunch, we’re building something meaningful together. At Qualinx, you’re not just contributing to a ground-breaking technology- you’re helping shape a team that’s redefining what it means to work in deep tech.
Role Overview:
We’re looking for a Senior Cloud Engineer to design, build, and operate scalable, secure, high-performance cloud infrastructure for compute-intensive semiconductor design workloads (EDA, simulation, verification). You’ll own key parts of our AWS cloud platform, with a strong focus on AWS Research and Engineering Studio (RES) Studio user environments, High Performance Cluster (HPC) engineering, and automation-first operations.
You’ll work closely with CAD, design, and verification teams to improve throughput, reliability, and cost efficiency while maintaining strong security and compliance.
Key Responsibilities:
Cloud Architecture & Engineering
Design and operate AWS-based environments optimized for semiconductor/EDA workloads (interactive and batch compute)
Build and maintain AWS RES Studio environments for end users, including performance, scalability, and lifecycle management
Architect HPC solutions across compute, storage, and data movement (high-throughput, low-latency patterns)
Deploy, tune, and support compute clusters using SLURM (capacity planning, queue policies, scheduling behaviour)
Infrastructure as Code & Automation
Implement and version infrastructure using Terraform (and Ansible where appropriate)
Build and maintain automated CI/CD pipelines for infrastructure provisioning and platform changes
Develop reusable modules, templates, and standards to improve consistency and speed of delivery
Operations & Maintenance
Monitor, troubleshoot, and continuously improve availability and performance across cloud infrastructure and cluster services
Establish operational best practices (alerting, runbooks, incident response, change control)
Partner with CAD/engineering teams to optimize workflows, usage patterns, and job throughput
Security & Compliance
Apply secure-by-design principles, modern AWS security practices, and zero-trust concepts
Implement IAM strategy, network segmentation, encryption, and secrets management
Participate in security reviews, vulnerability remediation, and compliance audits
Containerization & Orchestration (as applicable)
Support Kubernetes environments, including cluster operations and deployment workflows
Enable containerized workloads for supporting services and (where feasible) parts of EDA toolchains
