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About TensorWave
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the Role
We are seeking a highly skilled Staff BMC Developer to own the software lifecycle, configuration, integration, and long-term management of TensorWave's custom Baseboard Management Controller systems.
This role will serve as the technical owner for our out-of-band management architecture across next-generation AI compute platforms. The primary focus will be writing software for, configuring, integrating, and maintaining Axiado 3000-series BMC modules, with specific emphasis on OpenBMC, Redfish, PLDM, MCTP, low-level hardware interfaces, and integration with AMD Universal Base Board architecture for high-density GPU platforms.
The Staff BMC Developer will work closely with infrastructure engineering, hardware provisioning, network engineering, platform engineering, AMD engineering, and OEM hardware vendors to ensure our server management layer is stable, secure, observable, automatable, and production-ready at fleet scale.
This role is not a general firmware support position. It is a senior technical ownership role responsible for the management-plane software foundation required to deploy, monitor, update, recover, and operate large-scale AI compute infrastructure.
What You'll Do
BMC Software Development & Platform Ownership

• Own the full software lifecycle for TensorWave's custom BMC systems: firmware development, image customization, board configuration, validation, release management, upgrade workflows, and recovery procedures.
• Lead development and deployment for Axiado 3000-series BMC modules (Smart-SCM3002 / DC-SCM architectures).
• Define BMC platform standards covering firmware builds, configuration management, access control, secure interfaces, and automation integration.

OpenBMC Development

• Build, customize, maintain, and troubleshoot OpenBMC-based firmware for TensorWave-specific hardware platforms.
• Integrate platform-specific sensors, inventory, and control paths; support board bring-up and hardware enablement.
• Develop in C, C++, Python, and Shell within Yocto/BitBake and OpenBMC build systems.

Axiado & AMD UBB Integration

• Lead integration and operationalization of Axiado BMC modules; configure, debug, and validate sensor, power, reset, and firmware update workflows.
• Architect BMC integration with AMD Universal Base Board platforms supporting high-density MI-series GPU systems.
• Coordinate across BMC, BIOS, GPU, NIC, and system firmware dependencies; work directly with AMD, Axiado, and OEM vendors.

Low-Level Hardware Protocols & Firmware Lifecycle

• Debug and configure hardware communication interfaces: I2C, I3C, SPI, UART, PCIe, IPMI, PLDM, MCTP, and Redfish/DMTF APIs.
• Design and maintain robust firmware update processes (BIOS, BMC, NIC, GPU, CPLD/FPGA), including PLDM-based workflows, rollback, version tracking, and fleet-scale rollout planning.
• Implement and maintain Redfish APIs exposing power, thermal, inventory, sensor, and health data for automation and bare-metal provisioning.

Telemetry, Vendors & Cross-Functional Collaboration

• Ensure platform health metrics (thermal, power, voltage, fan, GPU, system health) are exposed to infrastructure and monitoring systems - not trapped in firmware or vendor tools.
• Serve as primary technical point of contact with AMD, Axiado, OEM vendors, and ODM platform teams; lead escalations and validate vendor fixes before production.
• Partner closely with Infrastructure, Platform Engineering, DevOps, Network Engineering, Observability, and Security teams.

Who You Are
Required

• Deep hands-on experience with BMC firmware development and OpenBMC (Yocto/BitBake).
• Strong proficiency in C, C++, Python, and Shell scripting in embedded Linux environments.
• Working knowledge of hardware protocols: I2C, I3C, SPI, UART, PCIe, IPMI, PLDM, MCTP.
• Experience with Redfish/DMTF APIs and out-of-band server management.
• Ability to work close to the metal - moving between firmware code, protocol traces, Linux diagnostics, and vendor documentation.
• Strong cross-functional communication skills; comfortable leading technical conversations with silicon vendors, OEMs, and internal engineering teams.

Preferred

• Experience with Axiado BMC modules or DC-SCM/Smart-SCM architectures.
• Familiarity with AMD UBB platforms and MI-series GPU infrastructure.
• Background in fleet-scale firmware lifecycle management.
• Experience contributing to or maintaining upstream OpenBMC

What We Offer

• Stock Options

• 100% paid Medical, Dental, and Vision insurance for Employees

• Company Health Savings Account Contributions

• 100% paid Short Term and Long Term Disability Insurance for Employees

• Life and Voluntary Supplemental Insurance Options

• Other Insurance Options, such as Pet & Legal Insurance

• Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

• Flexible Spending Account

• 401(k)

• Employee Assistance Program

• Flexible PTO

• Paid Holidays

• Parental Leave

• Other In-Office Perks

Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.