Senior SRE — AI GPU Infra Architect (Multi-Cloud)

lumalabs-ai; San Francisco (CA); On-site; USD 170,000 - 290,000; Full time

Job summary

Luma AI is seeking a hands-on SRE/Infrastructure Engineer to design and operate our GPU-driven AI infrastructure across on-prem and multi-cloud environments. You will own end-to-end reliability, performance, and security in a fast-paced startup setting.

From Linux performance tuning to building automation with Python/Go, you will collaborate with hardware vendors like NVIDIA and drive scalability for massive distributed training workloads.

Qualifications

• 5+ years as an SRE/production infra engineer in large-scale environments.
• Deep Linux, containerized systems, and low-level performance debugging.

Responsibilities

• Architect for Reliability and Scale across GPU infrastructure.
• Own multi-cloud GPU clusters (AWS & OCI) with high availability.
• Drive security and compliance (SOC 2, ISO) measures in startup infra.
• Perform deep Linux performance tuning at OS/kernel level.
• Build automation tools in Python, Go, or Bash for infra management.
• Debug complex hardware/software failures with hardware vendors.

Skills

Linux

Terraform

Airflow

Ray

Kubernetes

Networking

Python

Go

Bash

Tools

AWS

OCI

DCGM/ROCm

InfiniBand/RDMA

Job description

Luma AI is seeking a hands-on SRE/Infrastructure Engineer to design and operate our GPU-driven AI infrastructure across on-prem and multi-cloud environments. You will own end-to-end reliability, performance, and security in a fast-paced startup setting.

From Linux performance tuning to building automation with Python/Go, you will collaborate with hardware vendors like NVIDIA and drive scalability for massive distributed training workloads.