We AreSynopsys 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.
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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 reliability
- Reduce mean time to recovery during incidents by building better observability and automated remediation into the platform
- Improve developer velocity by streamlining deployment workflows and eliminating friction in the release process
- Establish infrastructure patterns and best practices that the broader engineering team can adopt and scale with
- Prevent out