Senior Distributed Systems Engineer, EDA Infrastructure

Nvidia Corporation; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Sr Software Engineer to design and scale the infrastructure supporting our EDA workloads. You will build platforms to automate provisioning, configuration, and lifecycle management for large-scale GPU and CPU compute fleets.

The role emphasizes reliability, observability, and automation, requiring strong Go or Python skills and cross-team collaboration. You will work across Linux, OS, networking, and hardware domains to deliver production-grade services at scale.

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 programming in Go or Python with solid 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, and data consistency in complex systems.
• Experience with infrastructure automation, software deployment, observability, and operational recovery.
• Strong communication across teams, organizations, and geographic regions.
• Systematic problem solving with ownership and focus on reducing toil.

Responsibilities

• Design and build platforms that automate provisioning, configuration, operation, and lifecycle management of large-scale GPU/CPU infrastructure.
• Develop monitoring, health-management, and remediation systems to improve reliability and utilization.
• Automate hardware deployment, OS configuration, firmware/software updates, and recovery workflows.
• Build services and workflows that integrate with schedulers and observability platforms.
• Use telemetry to identify failures and return unhealthy systems to service.
• Collaborate with EDA, infra, networking, storage, and hardware teams to deliver scalable solutions.
• Participate in incident response, root-cause analysis, and capacity planning.

Skills

Go

Python

Distributed systems

Automation

Linux

Cluster management

Data structures

Algorithms

Observability

Education

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or related field

Tools

Slurm

LSF

Kubernetes

Bright Cluster Manager

Job description

NVIDIA is seeking a Sr Software Engineer to design and scale the infrastructure supporting our EDA workloads. You will build platforms to automate provisioning, configuration, and lifecycle management for large-scale GPU and CPU compute fleets.

The role emphasizes reliability, observability, and automation, requiring strong Go or Python skills and cross-team collaboration. You will work across Linux, OS, networking, and hardware domains to deliver production-grade services at scale.