Software Engineer, Virtualization

Kindredventures

San Francisco (CA)

On-site

USD 180,000 - 250,000

Full time

14 days+

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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

You build the custom compute environments we deliver to customers — bare metal or virtual machines with GPU passthrough, dedicated Kubernetes clusters, and the networking that ties them together. You work across the full stack from Linux image building to overlay network design to cluster bootstrapping.

Key responsibilities

Build and deliver custom environments with excellent GPU performance for customer workloads
Leverage AI to an extreme level to automate provisioning, alerting and recovery
Provision and configure dedicated Kubernetes clusters tailored to customer requirements
Design and implement overlay networking (VLAN, VXLAN) and routing configurations (ECMP, BGP) and tunnels (strongSwan, IPSEC) for tenant isolation and performance
Build and maintain Linux images
Set up network monitoring and diagnostics for customer environments
Automate the end-to-end lifecycle of customer compute environments: creation, configuration, validation, and teardown

Requirements

5+ years experience with Linux virtualization: KVM/QEMU, libvirt, VFIO device passthrough, hugepages, NUMA, CPU pinning
Strong networking fundamentals: VXLAN, VLAN, ECMP, BGP, ARP, and the ability to debug packet-level issues (tcpdump, Wireshark)
Production experience building and operating Kubernetes clusters on bare metal (MetalLB)
Proficiency with Linux image building and OS provisioning (kickstart, cloud-init, PXE/iPXE)
Proficiency in Python, Bash, Ansible and Terraform
Deep experience with NVIDIA GPUs: drivers, MIG, container runtimes (nvidia-container-toolkit), InfiniBand, RDMA/RoCEv2 and GPUDirect for high-performance AI networking
Excellent communication and ability to drive technical decisions across teams
Self-starter who executes quickly, takes ownership, and constantly seeks improvement

Nice to have