Senior GPU Virtualization Engineer: Kubernetes & Networking

Fal; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Learning and growth opportunities

Regular team events

Visa sponsorship

Job summary

A technology company is seeking an experienced candidate to build custom compute environments in San Francisco. Responsibilities include managing Linux and Kubernetes, optimizing GPU performance, and automating provisioning with AI. Candidates should have over 5 years of Linux virtualization experience, strong networking skills, and proficiency in relevant scripting languages. The position offers a competitive salary of $180,000-250,000, equity, and additional benefits, along with opportunities for growth and visa sponsorship.

Qualifications

• 5+ years experience with Linux virtualization and associated technologies.
• Strong networking fundamentals with debugging capabilities.
• Experience building and operating Kubernetes clusters on bare metal.
• Proficiency in Linux image building and OS provisioning.
• Deep experience with NVIDIA GPUs and related technologies.
• Excellent communication and decision-making skills.
• Self-starter with ownership and improvement mindset.

Responsibilities

• Build and deliver custom environments with high GPU performance.
• Automate provisioning and recovery using AI technologies.
• Provision dedicated Kubernetes clusters for customers.
• Implement overlay networking and routing configurations.
• Build and maintain Linux images.
• Set up network monitoring for customer environments.
• Automate lifecycle of customer compute environments.

Skills

Linux virtualization (KVM/QEMU, libvirt, VFIO)

Networking fundamentals (VXLAN, VLAN, BGP)

Kubernetes cluster operation

Linux image building

Python

Bash

Ansible

Terraform

NVIDIA GPUs

Communication

Job description

A technology company is seeking an experienced candidate to build custom compute environments in San Francisco. Responsibilities include managing Linux and Kubernetes, optimizing GPU performance, and automating provisioning with AI. Candidates should have over 5 years of Linux virtualization experience, strong networking skills, and proficiency in relevant scripting languages. The position offers a competitive salary of $180,000-250,000, equity, and additional benefits, along with opportunities for growth and visa sponsorship.