Senior Systems Engineer: GPU Infra & Distributed Automation

NVIDIA AI; Durham (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA AI seeks an experienced infrastructure professional to design, build, and operate large-scale services and automation for EDA platforms on NVIDIA hardware. You will manage software life cycle and contribute to observability strategies, including SLAs and incident response.

Requirements include a BS degree in CS or related field and 8+ years of relevant experience, with proficiency in Python or Go, Linux, containers, and distributed systems design.

Qualifications

• Requires a BS degree in Computer Science or a related technical field.
• 8+ years of relevant experience.
• Proficiency in Python or Go, Linux systems, containers, and distributed systems design is essential.

Responsibilities

• Design, build, and run large-scale infrastructure services and automation to support EDA platforms on NVIDIA hardware.
• Manage the software life cycle and participate in observability strategies, including service level objectives and incident response.

Skills

Python

Go

Infrastructure Automation

Distributed Systems Design

Linux

Cloud Systems

Networking

Storage Technologies

Continuous Integration

Nvidia GPU-based Systems

Bare Metal as a Service

Education

BS degree in Computer Science or related field

Tools

Docker

Kubernetes

OpenStack

Slurm

Job description

NVIDIA AI seeks an experienced infrastructure professional to design, build, and operate large-scale services and automation for EDA platforms on NVIDIA hardware. You will manage software life cycle and contribute to observability strategies, including SLAs and incident response.

Requirements include a BS degree in CS or related field and 8+ years of relevant experience, with proficiency in Python or Go, Linux, containers, and distributed systems design.