Senior Cloud Infrastructure Engineer – GPU & DPU

Lambda; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Lambda, The Superintelligence Cloud, is seeking an experienced engineer to design, implement, and maintain production systems powering GPU fleet lifecycle management at scale. You will automate provisioning, configuration, and deployment and support hardware introductions for new server platforms.

You will also improve lifecycle workflows, debug firmware, BIOS, and networking issues, and collaborate across infrastructure, security and product teams to deliver scalable solutions.

Qualifications

• 6+ years of production experience with Go or Python in large-scale systems.
• Deep Linux OS, hardware, and networking debugging skills.
• Hands-on with bare metal provisioning and lifecycle tooling.
• Experience with Redfish, BMC, IPMI, DHCP, and PXE preferred.
• Ability to coordinate across software, infrastructure and vendor teams.

Responsibilities

• Develop and maintain production systems for GPU fleet lifecycle management.
• Automate infrastructure, provisioning, and deployment workflows.
• Support hardware introduction for new server and accelerator platforms.
• Improve machine lifecycle processes and firmware update workflows.
• Assist in DPU lifecycle automation and debugging of hardware issues.
• Collaborate with infrastructure, security, and product engineers.

Skills

Go (Golang)

Python

Bare metal hardware management

Linux debugging

Cross-team collaboration

DPUs / NICs

Tools

Redfish

BMC

IPMI

DHCP

PXE

Job description

Lambda, The Superintelligence Cloud, is seeking an experienced engineer to design, implement, and maintain production systems powering GPU fleet lifecycle management at scale. You will automate provisioning, configuration, and deployment and support hardware introductions for new server platforms.

You will also improve lifecycle workflows, debug firmware, BIOS, and networking issues, and collaborate across infrastructure, security and product teams to deliver scalable solutions.