Distributed Systems Engineer, EDA Infra & Automation

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

Job summary

NVIDIA Corporation is seeking a Sr Software Engineer to design and operate distributed systems supporting EDA workloads. You will build automation for provisioning, config, and lifecycle management of large GPU/CPU compute infrastructure used by engineering teams across NVIDIA.

The role requires 5+ years in software or infra engineering, strong Go/Python skills, and experience with Linux, schedulers, and observability.

Qualifications

• 5+ years of software or infrastructure engineering for large-scale production systems.
• BS in CS/Engineering/Physics/Mathematics or related field (or equivalent).
• Strong programming in Go or Python 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.
• Experience with infrastructure automation, software deployment, observability, and operational recovery.
• Strong communication across teams and ownership mindset to reduce toil.
• Experience with large-scale EDA or HPC infrastructure is a plus.

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.
• Automate hardware deployment, OS configuration, firmware/software updates, cluster enrollment, and recovery workflows.
• Build reliable services that integrate with schedulers, infrastructure management, and observability platforms.
• Use telemetry to identify failures and restore unhealthy systems to service.
• Collaborate with EDA, infrastructure, networking, storage, and hardware teams to deliver scalable solutions.
• Participate in incident response, root-cause analysis, capacity planning, and continuous improvement of production services.

Skills

Go

Python

Distributed systems

Linux

Networking

Observability

Incident response

Problem solving

Communication

Ownership

Education

Bachelor's degree in CS/Engineering/Physics/Math or related field

Tools

Slurm

LSF

Kubernetes

Bright Cluster Manager

Job description

NVIDIA Corporation is seeking a Sr Software Engineer to design and operate distributed systems supporting EDA workloads. You will build automation for provisioning, config, and lifecycle management of large GPU/CPU compute infrastructure used by engineering teams across NVIDIA.

The role requires 5+ years in software or infra engineering, strong Go/Python skills, and experience with Linux, schedulers, and observability.