About the role

What you’ll do

• Build and operate reliable, large-scale infrastructure platform services for EDA platforms running on NVIDIA hardware
• Focus on infrastructure services, automation, observability, incident response, and systems design consultation
• Develop tools for running large-scale private or public cloud systems in production
• Orchestrate automated and manual processes using Continuous Integration and/or workflow engines
• Work with NVIDIA GPU-based systems

What you’ll need

• BS degree in Computer Science or a related technical field (or equivalent experience)
• Experience coding in Python and/or Go; must be able to produce code without AI assistance during interviews
• Experience with infrastructure automation, distributed systems design, and large-scale private/public cloud systems in production
• In-depth knowledge of Linux systems, containers, networking, and storage technologies
• 8+ years of relevant experience with systematic problem-solving, strong communication skills, and a sense of ownership
• Experience with CI/workflow engines, BMaaS, multi-cloud infrastructure (Kubernetes, OpenStack, Docker, Slurm), and NVIDIA GPU-based systems

Original job description