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About the Role

NVIDIA is hiring engineers to build and scale the infrastructure that supports our Electronic Design Automation (EDA) workloads. You will help design reliable automation and platform services that manage large fleets of GPU-based and CPU-based compute systems used by engineering teams across NVIDIA. The ideal candidate is comfortable working across software, operating systems, cluster schedulers, networking, storage, and physical hardware. You should enjoy solving complex operational problems, eliminating repetitive work through automation, and building systems that remain reliable as infrastructure grows.

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.

Requirements

5+ years of software engineering or infrastructure engineering experience supporting large-scale production systems.
A BS in Computer Science, Engineering, Physics, Mathematics, or a 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.

Skills

Go
Python
Linux
GPU
CPU
Distributed systems
Infrastructure automation
Software deployment
Observability
Operational recovery
Workload schedulers
Cluster management platforms
Slurm
LSF
Kubernetes
Bright Cluster Manager
EDA applications
License-management systems
High-throughput batch workloads
Semiconductor design workflows
Automated health checks
Break-fix remediation
Firmware and operating-system upgrade workflows
Node-provisioning systems

Experience Level

5+ years

Education Level

BS in Computer Science, Engineering, Physics, Mathematics, or a related field, or equivalent experience.

Salary/Compensations

152,000 USD – 241,500 USD for Level 3
184,000 USD – 287,500 USD for Level 4

Benefits

Equity
Benefits

About the Company

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the industry working with us. If you are creative, autonomous, and excited to build reliable infrastructure at scale, we want to hear from you!

Equal Opportunity

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.