Senior Distributed Systems Engineer — EDA Infra (Equity)

NVIDIA Corporation; Washington; Hybrid; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Sr Software Engineer to design and scale distributed infrastructure for EDA workloads in a production environment. You will build automation that provisions, configures, and operates large GPU/CPU compute fleets, and develop health-management and remediation systems to improve reliability across data centers.

The role requires strong Go or Python skills, experience with Linux-based clusters, and collaboration across multiple teams to reduce toil and improve

Qualifications

• 5+ years of software 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 and algorithms.
• 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.

Responsibilities

• Design and build platforms that automate provisioning, configuration, operation and lifecycle management of large-scale GPU/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 and software updates, cluster enrollment, and recovery workflows.
• Build reliable services and workflows that integrate with workload schedulers, infrastructure management systems, and observability platforms.
• Use diagnostics, signals, scheduler data, and telemetry to identify failures and return unhealthy systems to service.
• Collaborate with EDA, infrastructure, networking, storage, and hardware teams to deliver scalable solutions for chip-design workloads.

Skills

Distributed systems

Go

Python

Automation

Observability

Communication

Education

BS in Computer Science, Engineering, Physics, Mathematics, or related field

Tools

Slurm

LSF

Kubernetes

Bright Cluster Manager

Job description

NVIDIA Corporation is seeking a Sr Software Engineer to design and scale distributed infrastructure for EDA workloads in a production environment. You will build automation that provisions, configures, and operates large GPU/CPU compute fleets, and develop health-management and remediation systems to improve reliability across data centers.

The role requires strong Go or Python skills, experience with Linux-based clusters, and collaboration across multiple teams to reduce toil and improve