Senior Distributed Systems Engineer EDA Infra Equity

Socket.dev; North Carolina; Hybrid; USD 152,000 - 288,000; Full time

Job summary

NVIDIA is seeking a Sr Software Engineer - Distributed Systems Engineer, EDA Infrastructure to design and scale automation for vast GPU/CPU compute fleets. You will partner with EDA, networking, storage, and hardware teams to improve reliability and throughput across production workloads.

You will implement provisioning, lifecycle management, and remediation tools, while enhancing observability and integration with schedulers and management systems.

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 solid 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 in complex systems.
• Experience with infrastructure automation, software deployment, observability, and operational recovery.
• Strong communication skills and ability to work across teams and geographies.
• Systematic problem solving with ownership and focus on reducing operational toil.

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, and recovery workflows.
• Build 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 on scalable solutions.
• Contribute to incident response, root-cause analysis, capacity planning, and ongoing production improvements.

Skills

Go

Python

Distributed systems

Production infrastructure

System design

Communication

Education

Bachelor's degree in Computer Science/Engineering/Physics/Math

Equivalent experience

Tools

Slurm

Kubernetes

Linux

LSF

Bright Cluster Manager

Job description

NVIDIA is seeking a Sr Software Engineer - Distributed Systems Engineer, EDA Infrastructure to design and scale automation for vast GPU/CPU compute fleets. You will partner with EDA, networking, storage, and hardware teams to improve reliability and throughput across production workloads.

You will implement provisioning, lifecycle management, and remediation tools, while enhancing observability and integration with schedulers and management systems.