Senior Distributed Systems Engineer — EDA Infra (Equity)

NVIDIA; Austin (TX); On-site; USD 152,000 - 288,000; Full time

Job summary

NVIDIA is seeking a Sr Software Engineer - Distributed Systems Engineer, EDA Infrastructure, to design and scale the infrastructure that supports EDA workloads. You will automate provisioning, configuration, and lifecycle management for large fleets of GPU and CPU compute systems used by NVIDIA engineering teams.

The role spans software, OS, schedulers, networking, storage, and hardware. You’ll improve reliability through automation, incident responses, and capacity planning, partnering with

Qualifications

• 5+ years of software or infrastructure engineering experience supporting large-scale production systems.
• BS in Computer Science, Engineering, Physics, Mathematics, or related field, or equivalent experience.
• Strong Go or Python programming experience with data structures, algorithms, testing, and 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 across teams and regions; ownership mindset and reducing toil.

Responsibilities

• Design and build platforms that automate provisioning, configuration, operation, and lifecycle management of large-scale GPU and CPU compute infrastructure.
• Develop monitoring, health-management, and remediation systems to improve reliability and utilization of EDA compute environments.
• Automate hardware deployment, OS configuration, firmware/software updates, cluster enrollment, and recovery workflows.
• Build reliable services and workflows that integrate with workload schedulers, infrastructure management, and observability platforms.
• Use diagnostics, OS signals, scheduler data, and telemetry to identify failures and restore services.
• Collaborate with EDA, infrastructure, networking, storage, and hardware teams to deliver scalable solutions for chip-design workloads.
• Contribute to incident response, root-cause analysis, capacity planning, and production service improvements.

Skills

Go

Python

distributed systems

Linux

communication

software/infrastructure experience

Education

BS in Computer Science or related field

Tools

Slurm

LSF

Kubernetes

Bright Cluster Manager

Shell scripting

Job description

NVIDIA is seeking a Sr Software Engineer - Distributed Systems Engineer, EDA Infrastructure, to design and scale the infrastructure that supports EDA workloads. You will automate provisioning, configuration, and lifecycle management for large fleets of GPU and CPU compute systems used by NVIDIA engineering teams.

The role spans software, OS, schedulers, networking, storage, and hardware. You’ll improve reliability through automation, incident responses, and capacity planning, partnering with