Senior Distributed Systems Engineer - EDA Infra

NVIDIA; United States; On-site; USD 152,000 - 242,000; Full time

Job summary

NVIDIA is seeking Sr Software Engineer - Distributed Systems to design and scale infrastructure for EDA workloads. You will build automation, health-management, and lifecycle tooling across GPU/CPU compute fleets and coordinate with EDA, networking, storage, and hardware teams.

The role emphasizes automation, reliability, and capacity planning in a multi-team, geographically distributed environment with strong programming in Go or Python and Linux expertise.

Qualifications

• 5+ years of software or infrastructure engineering experience
• BS in Computer Science, Engineering, Physics, Mathematics, or related field or equivalent experience
• Strong programming in Go or Python, with data structures and algorithms knowledge
• Experience designing automation for distributed systems and large fleets of Linux 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 and collaboration across teams and regions

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
• Automate hardware deployment, OS configuration, firmware/software updates, enrollment, and recovery workflows
• Build reliable services and workflows that integrate with schedulers, infrastructure management, and observability platforms
• Use telemetry to identify failures and recover 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 production-service improvements

Skills

Go

Python

Distributed systems

Linux

Data structures

Algorithms

Automation

Observability

Education

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

Tools

Slurm

LSF

Kubernetes

Bright Cluster Manager

Job description

NVIDIA is seeking Sr Software Engineer - Distributed Systems to design and scale infrastructure for EDA workloads. You will build automation, health-management, and lifecycle tooling across GPU/CPU compute fleets and coordinate with EDA, networking, storage, and hardware teams.

The role emphasizes automation, reliability, and capacity planning in a multi-team, geographically distributed environment with strong programming in Go or Python and Linux expertise.