Remote Firmware Automation Engineer for AI Compute Hardware

Verda

United States

Remote

USD 150,000 - 210,000

Full time

14 days+
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Job summary

Verda is building a European AI cloud and seeks an experienced Firmware Automation Engineer to own fleet-wide firmware orchestration across servers, switches, and accelerators. You will design automated, zero-touch update pipelines and robust health checks to keep hardware up to date without service interruptions.

You will manage multiple hardware profiles, including BIOS/UEFI, BMCs, InfiniBand HCAs, and GPU clusters, using Redfish, IPMI, and related APIs.

Qualifications

  • Experience with firmware management at scale across multiple hardware profiles.
  • Proficiency in Redfish, IPMI, and related management interfaces.
  • Strong scripting skills in Python/Go plus automation tools like Ansible or SaltStack.

Responsibilities

  • Fleet-wide firmware orchestration across servers, switches, and accelerators.
  • Own firmware lifecycle for multiple hardware profiles (BIOS/UEFI, BMCs, InfiniBand, GPUs).
  • Leverage Redfish and IPMI APIs to discover, configure, inventory, and update bare-metal assets at scale.
  • Build telemetry pipelines to verify health post-flash and automate rollbacks for faulty payloads.
  • Integrate firmware pipelines into configuration management and provisioning workflows.
  • Collaborate with vendors and internal teams to patch CVEs and regressions.

Skills

Automation at scale
Redfish expertise
Hardware management
Failure domain expertise
Scripting languages

Tools

Python
Go
Shell scripting
Ansible
SaltStack
IPMI
Redfish

Job description

Verda is building a European AI cloud and seeks an experienced Firmware Automation Engineer to own fleet-wide firmware orchestration across servers, switches, and accelerators. You will design automated, zero-touch update pipelines and robust health checks to keep hardware up to date without service interruptions.

You will manage multiple hardware profiles, including BIOS/UEFI, BMCs, InfiniBand HCAs, and GPU clusters, using Redfish, IPMI, and related APIs.

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