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Axiado

AI-driven hardware security solutions for infrastructure

Staff Firmware Engineer - NVIDIA Ecosystem

Embedded EngineeringUpdated on Nov 13
Full-timeTaipei City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of firmware engineering experience, specifically in BMC or server manageability.
  • Direct experience with NVIDIA GPU deployment tools, XID error debugging, and NVLink topology validation.
  • High proficiency in C and C++ for embedded systems and Python and shell for automation and validation scripts.
  • In-depth knowledge of IPMI 2.0, Redfish, and the MCTP/PLDM stack.
  • A Bachelor of Science or Master of Science degree in Electrical Engineering, Computer Science, or a related field.

Responsibilities

  • Lead integration and validation of security solutions with high-performance NVIDIA-based server systems.
  • Diagnose and resolve failures in NVIDIA’s NVSSVT and NVRAS suites, focusing on stress tests, diagnostics, and system benchmarks.
  • Implement and tune MCTP and PLDM over PCIe, SMBus, and USB to enable communication between the Axiado security processor and NVIDIA NVSwitch/GPU components.
  • Implement NVIDIA RAS features to ensure predictable system behavior during hardware or firmware errors.
  • Develop and optimize OpenBMC-based BMC firmware to support management of NVIDIA GPUs.
  • Partner with system teams to review schematics and ensure firmware alignment with NVIDIA’s Fabric Manager and GPU software stacks.

Desired Qualifications

  • Experience with NVIDIA Fabric Manager and high-availability modes in DGX/HGX systems.
  • Familiarity with Root of Trust (RoT) and Secure Boot mechanisms.
  • Previous experience achieving NVSSVT compliance for BIOS/BMC vendors.

About the Company

Axiado

AI-driven hardware security solutions for infrastructure

Axiado provides AI-driven hardware security solutions that protect digital infrastructure by embedding security into servers, 5G networks, and data centers. Its core offerings—the Secure Vault core and Secure AI preemptive threat detection engine—are built into Trusted Control Units (TCUs) and deliver real-time, proactive AI-based threat detection. The TCUs are Open Compute Project (OCP) compliant, enabling faster adoption across cloud datacenters, 5G base stations, switches, and power controllers. Unlike software-only defenses, Axiado combines hardware security modules with software to meet the needs of enterprises requiring high assurance. The goal is to make data security the default across the infrastructure chain and reduce the global economic impact of cybercrime.

Company size
51-200
Company stage
Series C
Total funding
$205M
Headquarters
San Jose, CA
Founded
2017

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