Senior Distributed Systems Engineer - EDA Infra (Equity)

NVIDIA Corporation; Sacramento (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation seeks a Sr Software Engineer – Distributed Systems Engineer for EDA Infrastructure. You will design and scale platforms that automate provisioning, configuration, and lifecycle management of vast GPU/CPU compute fleets used by engineering teams.

You’ll build monitoring and remediation systems and automate hardware deployment and updates. The role requires strong Go/Python skills, Linux expertise, and cross-team collaboration to improve reliability and throughput of critical

Qualifications

• 5+ years of software or infrastructure engineering for large-scale production systems.
• BS in Computer Science, Engineering, Physics, Mathematics, or related field or equivalent experience.
• Strong programming in Go or Python with data structures and algorithms.
• Experience designing automation for distributed systems and large fleets of Linux nodes.
• Understanding of performance, reliability, fault tolerance, state management, and data consistency.
• Experience with infrastructure automation, deployment, observability, and operational recovery.
• Strong communication across teams and geographic regions.
• Ownership mindset with focus on reducing operational toil.

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 workload schedulers, infrastructure management, and observability platforms.
• Use telemetry to identify failures and return unhealthy systems to service.
• Collaborate with EDA, infrastructure, networking, storage, and hardware teams for scalable solutions.
• Participate in incident response, root-cause analysis, and capacity planning.

Skills

Go

Python

Distributed systems

System design

Data structures

Testing

Software design

Communication

Education

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

Tools

Linux

Slurm

LSF

Kubernetes

Bright Cluster Manager

Job description

NVIDIA Corporation seeks a Sr Software Engineer – Distributed Systems Engineer for EDA Infrastructure. You will design and scale platforms that automate provisioning, configuration, and lifecycle management of vast GPU/CPU compute fleets used by engineering teams.

You’ll build monitoring and remediation systems and automate hardware deployment and updates. The role requires strong Go/Python skills, Linux expertise, and cross-team collaboration to improve reliability and throughput of critical