Senior Distributed Systems Engineer - EDA Infra & Automation

NVIDIA Corporation; California City (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 - Distributed Systems to design and operate the infrastructure that supports our Electronic Design Automation workloads. You will build platforms to automate provisioning, configuration, and lifecycle management for large GPU/CPU compute fleets.

You will collaborate with EDA, infrastructure, networking, storage, and hardware teams to implement monitoring, remediation, and efficient production workflows, improving reliability and utilization at scale.

Qualifications

• 5+ years of software engineering or infrastructure engineering experience supporting large-scale production systems.
• A BS in Computer Science, Engineering, Physics, Mathematics, or related field, or equivalent experience.
• Strong programming experience in Go or Python, including a solid understanding of data structures, algorithms, testing, and software 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 in complex systems.
• Experience with infrastructure automation, software deployment, observability, and operational recovery.
• Strong communication skills and the ability to work effectively across teams, organizations, and geographic regions.
• A systematic approach to problem solving, with a strong sense of ownership and an emphasis on reducing operational toil.

Responsibilities

• Design and build platforms that automate the provisioning, configuration, operation, and lifecycle management of large-scale GPU and CPU compute infrastructure.
• Develop monitoring, health-management, and remediation systems that improve the reliability, availability, and utilization of EDA compute environments.
• Automate hardware deployment, operating-system 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 hardware diagnostics, operating-system signals, scheduler data, and network and storage telemetry to identify failures and return unhealthy systems to service.
• Work with EDA, infrastructure, networking, storage, and hardware engineering teams to deliver scalable solutions for critical chip-design workloads.
• Participate in incident response, root-cause analysis, capacity planning, and the continuous improvement of production services.

Skills

Go

Python

Distributed systems

Data structures

Algorithms

Testing

Software design

Linux

Communication

Education

BS 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 - Distributed Systems to design and operate the infrastructure that supports our Electronic Design Automation workloads. You will build platforms to automate provisioning, configuration, and lifecycle management for large GPU/CPU compute fleets.

You will collaborate with EDA, infrastructure, networking, storage, and hardware teams to implement monitoring, remediation, and efficient production workflows, improving reliability and utilization at scale.