We Are
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D; capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.
You Are
You have built and scaled platforms that actually run in production, not proof-of-concepts that look good in slides. You know that Kubernetes is powerful, but also that it can become a mess fast if the design decisions are not made with scale and maintainability in mind.
When someone says "we need to deploy this new AI service, " you do not just spin up a pod and call it done. You ask about traffic patterns, failure modes, and what happens when this thing needs to scale 10x in six months.
What You'll Be Doing
- Perform complex development activities that may require extensive analysis in areas including cloud deployment and maintenance,
as well as distributed system maintenance and scaling
- Use best practices and evangelize through RFCs and mentoring
- Help scale our processes (release, development environments, CI/CD pipelines)
- Root cause investigation, automated release testing, production incident solving
- Design, deploy, and maintain the platform infrastructure using Kubernetes, Pulumi, and Terraform
- Scale GPU and CPU compute resources to support AI model training and inference workloads that grow unpredictably
- Build monitoring, alerting, and observability tooling that catches issues before customers do, using tools like Prometheus, Grafana, or equivalent
The Impact You Will Have
- Enable Engineers to deploy models that reduce simulation time from hours to minutes, directly accelerating product innovation for Synopsys customers
- Scale the platform to handle growing customer demand without degrading performance or reli
📌 R&D Engineering, Staff Engineer (Gijón)
🏢 Ansys
📍 Gijón