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Axiado

AI-driven hardware security solutions for infrastructure

BMC Engineer

Full-Time
No salary listed
Senior
Bengaluru, Karnataka, India
In Person
Software EngineeringEmbedded Engineering

About the job

Requirements
  • BMC product or stack software solution experience.
  • Understanding of server power management via BMC.
  • At least 5 years of experience coding in C++ for Linux applications, including well-designed concepts and code-tracing skills.
  • Hardware debugging skills.
  • Knowledge of low-level protocols including I2C, PMBUS, SPI, UART, JTAG, and GPIO.
  • Understanding of BMC IPMI 2.0, including IPMI Messaging, SDR, SEL, FRU, SOL, IPMB, LAN, KCS, event log, PEF, ME, NM, and PECI.
  • Experience with MCTP and PLDM.
  • Experience porting BMC software to multiple hardware platforms.
Responsibilities
  • Design, develop, and maintain BMC software solutions for products, including sensor monitoring, event logs, and web user interfaces.
  • Implement firmware functions that communicate with peripherals through SPI, I2C, UART, and other interfaces according to protocol specifications and chipset datasheets.
  • Perform code reviews, unit testing, and debugging to ensure high-quality and reliable BMC software.
  • Develop and maintain documentation, including design specifications, user manuals, and release notes.
Desired Qualifications
  • Experience with AMI SPX or OneTree products.
  • Experience working with DCSCM cards.

About the company

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, California

Founded

2017

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Simplify's Take

What believers are saying

  • December 2, 2025 Series C+ raised $100 million for expansion and products.
  • September 15-17, 2026 AI Infra Summit showcases 40% CPU and 50% cooling savings.
  • Jabil partnership on October 14, 2025 opens OEM channels without costly co-design.

What critics are saying

  • Hyperscaler qualification cycles can stall revenue until 2027, despite product availability.
  • Broadcom, Intel, and Nuvia-adjacent ecosystem vendors already own server management sockets.
  • If OEM pilots never standardize, Axiado remains a niche chip supplier and dies.

What makes Axiado unique

  • Axiado embeds security and management directly in TCU silicon, not server software.
  • OCP DC-SCM 2.0 compliance with Jabil on October 14, 2025 speeds adoption.
  • September 14, 2026 PEC demos autonomous power and thermal control inside hardware.

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Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

2%
Yahoo Finance
Oct 12th, 2026
Axiado teams with Arm to bring AI-driven security to its first data centre CPU

Axiado, a San Jose semiconductor company, is working with Arm to bring its security and management chips to Arm's new AGI CPU server platform. The companies announced the collaboration on October 12, 2026. Axiado's Data Center Secure Control Module (DC-SCM) cards combine a baseboard management controller, hardware root of trust, and on-chip AI in a single chip. The integration uses standards such as OpenBMC and Redfish, which Axiado says will speed deployment. The Arm AGI CPU is Arm's first data center processor and the first production silicon in its 35-year history. It is built on Neoverse cores for agentic AI. Axiado will show a video demonstration at booth #A1 at the OCP Global Summit, held October 12-15, 2026, in San Jose.

Yahoo Finance
Oct 12th, 2026
Axiado's AI controller promises up to 30% more tokens per watt and failure prediction

Axiado, a San Jose semiconductor company, will demonstrate its Platform Intelligence Controller (PIC) at the Open Compute Project (OCP) Global Summit, held October 12-15 at the San Jose Convention Center, booth A1. The chip runs AI-driven management directly in silicon. Built on Axiado's Trusted Control/Compute Unit (TCU), the PIC manages power, cooling, and security in real time. Autonomous agents on production-class AI systems cut CPU power by 40%, GPU power by 20%, and air cooling power by 50%, with no performance impact. Based on these results, Axiado says the PIC can enable up to 30% more tokens per watt. Demonstrations cover detection of AI-driven attacks, power and cooling tuning across Arm and x86 platforms, and prediction of storage failures weeks ahead of downtime.

TMCnet
Oct 12th, 2026
Axiado Brings Autonomous Management to AI Infrastructure with Platform Intelligence, Improving Efficiency, Security, and Reliability

Axiado Brings Autonomous Management to AI Infrastructure with Platform Intelligence, Improving Efficiency, Security, and Reliability TMCnet News [October 12, 2026] | / | Axiado Brings Autonomous Management to AI Infrastructure with Platform Intelligence, Improving Efficiency, Security, and Reliability Axiado Corporation, a semiconductor company adding platform intelligence to AI infrastructure, will demonstrate its Platform Intelligence Controller (PIC) at the Open Compute Project (OCP) Global Summit, October 12-15 at the San Jose Convention Center, booth A1. The demonstrations show AI-driven management running directly in silicon, making AI infrastructure measurably more efficient, more secure, and more reliable. AI moves in milliseconds. Infrastructure management still moves in minutes. Power transients, thermal events and security incidents on AI racks happen faster than management systems designed for earlier generations of infrastructure can respond. The result is stranded power, an exposed management plane, and failures discovered only after the damage is done. The PIC, built on Axiado's TCU silicon, closes the management loop in real time, on the platform itself. Autonomous agents running on production-class AI systems have delivered significant improvements in power efficiency: 40% reduction in CPU power and 20% reduction in GPU power with no performance impact, and 50% reduction in air cooling power. Modeled from these measured reductions, the TCU-based PIC can enable up to 30% more tokens per watt from the infrastructure operators are already deploying. Additional AI agents running on the PIC show rapid response to security incidents and hardware failure prediction to reduce downtime. "Autonomous infrastructure starts in the silicon," said Gopi Sirineni, Founder, President and CEO of Axiado. "AI infrastructure now moves faster than traditional management systems can respond. By putting AI agents directly atthe foundation of the platform, infrastructure can sense, decide and act in milliseconds, recovering power that would otherwise be stranded and turning it into productive AI capacity, protecting infrastructure from AI-driven attacks, and helping limit costly hardware failures that disrupt data center operations." Detailed video demonstrations at booth A1 include examples of Axiado technology integrated with a variety of Arm, x86, and GPU platforms: Platform Intelligence Demos * Security: detecting AI-driven attacks on the management plane and compromised AI agents on the host, out of band, from silicon that the host operating system cannot tamper with. * Efficiency: AI agents tuning power and cooling to the live workload, measured across x86 and Arm platforms from multiple vendors, with no infrastructure changes. * Reliability: predicting storage failures weeks before they become downtime, measured on drive-health data. Other Technology Demos * Rack scale intelligence: management software providing a unified foundation for rack efficiency, operational visibility and runtime security. Demos show coordination of power across GPUs under a fixed rack cap, the first step from the server to the fleet. * OCP OBMF telemetry consolidation: Axiado's implementation of the OCP OBMF standard simplifies integration of telemetry interfaces across heterogeneous platforms. * Edge server managed by Axiado TCU: demonstration of the applicability of the TCU and platform intelligence to another class of infrastructure. * Arm: demonstration of the TCU managing an Arm reference server over open management standards. Axiado will be at booth A1 throughout the summit with the video demos described above, as well as TCU and PIC product samples, and live demonstrations in Axiado's nearby San Jose office are available by appointment. To schedule a meeting or briefing, go to axiado.com/ocpgs26 or email [email protected]. About Axiado Axiado is a semiconductor company adding platform intelligence to AI infrastructure. Axiado's Trusted Control/Compute Unit (TCU) brings intelligence into the platform itself: a single SoC combining hardware-rooted security, real-time control, platform management, and on-chip AI. Delivered as Secure Control Modules in OCP standard form factors, Axiado silicon senses, decides, and acts on the platform in real time, making AI infrastructure more efficient, more secure, and more reliable. Founded in 2019, Axiado is headquartered in San Jose, California, with engineering centers in Taiwan, India, and Vietnam. Learn more at axiado.com. View source version on businesswire.com: https://www.businesswire.com/news/home/20261012915147/en/ [ Back To TMCnet.com's Homepage] |

Business Wire
Sep 17th, 2026
Axiado Secures Initial Closing of $20M Series B Investment

Axiado Corporation, an AI-driven hardware security company has announced an initial investment as a part of closing its $20 million Series B funding.

Yahoo Finance
Sep 14th, 2026
Axiado's AI agents cut data centre power use by up to 50%, boosting tokens per dollar by 30%

Axiado Corporation will demonstrate its autonomous AI infrastructure management system at AI Infra Summit 2026 in Santa Clara, California, from 15-17 September. The company's Platform Efficiency Controller uses AI agents embedded in silicon to optimise power and thermal management in real time. According to Axiado, the technology can reduce CPU power consumption by 40% and GPU power by 20%, whilst cutting air cooling power by 50%. This enables data centres to generate up to 30% more tokens per dollar. The system operates autonomously at hardware level, making decisions in milliseconds without requiring human intervention or centralised management software. Axiado founder and CEO Gopi Sirineni said the technology addresses power constraints by reclaiming wasted energy rather than requiring additional capacity.