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Location
Remote (EU)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 6, 2026.

Overview
Company
Impact
Profile match
Cloud infrastructure shaped by AI workloads. Peak efficiency across software, compute, storage, and networking.

At Verda, we're building a full-stack AI cloud, covering everything from data centers and hardware to our own cloud platform that the world's leading AI teams use to do serious AI work.

We strive to make a positive mark on the world through the infrastructure we build and give leading teams a service they can truly depend on. Headquartered in Helsinki, we operate globally with offices in London and San Francisco.

Join Verda while it’s still being built - not once it’s finished.

Why Verda

  • Cash and equity compensation along with local benefits.

  • 40+ nationalities, with 6 different ones on the management team.

  • A real chance to make an impact and work alongside world class engineers, researchers, and partners across the global AI ecosystem.

Practicalities

  • Work mode: Remote (EU)

  • Employment type: Full-time, permanent

  • Start date: As soon as possible

About the role

Instead of traditional systems engineering, your focus will be entirely on the silicon and low-level software layers. You will design, build, and maintain the automation frameworks that keep our entire fleet up to date-covering everything from motherboards and Baseboard Management Controllers (BMCs) to high-performance InfiniBand fabrics and GPU clusters. In our "move fast" culture, your job is to build the safety nets (health checks, canary deploys, and automated rollbacks) that allow us to update hardware rapidly without taking down the cloud.

Your Responsibilities

  • Fleet-Wide Firmware Orchestration: Design and execute automated, zero-touch firmware update pipelines across our global fleet of servers, switches, and accelerators.

  • Heterogeneous Hardware Management: Own the firmware lifecycle for multiple hardware profiles, including Systemboards (BIOS/UEFI), BMCs, InfiniBand HCAs, Network Switches, and high-performance GPUs.

  • Redfish & API Automation: Leverage Redfish and IPMI APIs to programmatically discover, configure, inventory, and update bare-metal assets at scale.

  • Build Blast-Radius Protections: Architect robust telemetry pipelines to assess hardware health post-flash, and build automated rollback mechanisms to instantly recover from faulty vendor payloads.

  • Tooling & Infrastructure as Code: Integrate firmware management pipelines cleanly into our existing configuration management ecosystems (SaltStack/Ansible) and provisioning workflows.

  • Vendor & Engineering Liaison: Deep-dive into hardware errata and bug reports, collaborating closely with hardware vendors and internal platform teams to patch critical CVEs and performance regressions.

Your key competencies

  • Automation at Scale: Proven experience managing and updating firmware across thousands of nodes simultaneously. You don't do "one-off" flashes; you write code to update clusters.

  • Deep Redfish Expertise: Mastery of the DMTF Redfish specification for server management, out-of-band communication, and telemetry collection.

  • Hardware Polyglot: Strong understanding of the architectural differences in managing firmware across systemboards, network stacks (InfiniBand/Ethernet), and GPU architectures.

  • Failure Domain Expertise: A paranoid mindset regarding hardware health. You know how to verify if a device is truly healthy post-boot and how to safely execute an unattended rollback if it isn't.

  • Scripting & Infrastructure Code: Proficiency in Python, Go, or advanced shell scripting alongside configuration management tools (Ansible/Salt) to interact with hardware APIs.

Nice-to-Haves

  • Experience working within the OpenBMC ecosystem or building custom BMC firmware images.

  • Deep operational familiarity with NVIDIA/Mellanox firmware management tools (mstflint, mlxup).

  • Experience managing firmware lifecycles specifically within large-scale AI/ML training clusters or high-performance computing (HPC) environments.

What's next

We're building fast and this role needs the right person behind it. There's no artificial deadline, but when we find who we're looking for, we move. If this sounds like your next move, apply now.

Please submit your application through our Careers page. We don't accept applications sent by email.

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