Senior Software Engineer, Distributed Systems Engineer, EDA Infrastructure

What you'll do

• Design and build platforms to automate the provisioning and lifecycle management of large-scale GPU and CPU compute infrastructure.
• Develop monitoring, health-management, and remediation systems to improve the reliability and utilization of EDA compute environments.
• Automate hardware deployment, operating-system configuration, firmware updates, and cluster enrollment workflows.
• Build reliable services that integrate with workload schedulers, infrastructure management systems, and observability platforms.
• Use hardware diagnostics and telemetry data to identify failures and return unhealthy systems to service.
• Participate in incident response, root-cause analysis, and capacity planning for production services.
• Deliver scalable solutions for critical chip-design workloads by collaborating with networking, storage, and hardware teams.

What we're looking for

• 5+ years of software engineering or infrastructure engineering experience supporting large-scale production systems.
• A BS in Computer Science, Engineering, Physics, Mathematics, or a related field, or equivalent experience.
• Strong programming experience in Go or Python, including data structures, algorithms, testing, and software design.
• Experience designing automation for distributed systems and large fleets of Linux-based compute nodes.
• Understanding of performance, security, reliability, fault tolerance, state management, and data consistency in complex systems.
• Experience with infrastructure automation, software deployment, observability, and operational recovery.
• Strong communication skills and the ability to work effectively across teams, organizations, and geographic regions.
• Experience designing or operating large-scale EDA or high-performance computing infrastructure (preferred).