Senior Embedded Software Engineer (AI)

TL;DR

Senior Embedded Software Engineer (C/C++/Embedded Linux): Designing and implementing firmware and low-level software for next-generation GPU and HPC platforms with an accent on embedded control, board management, and telemetry. Focus on maintaining custom OpenBMC firmware, optimizing low-level drivers, and ensuring reliability in high-density, mission-critical environments.

Location: Remote (United States)

Salary: $179,500 - $269,200 USD

Company

hirify.global is a full-stack AI cloud platform providing GPU orchestration and inference optimization for the global AI economy.

What you will do

• Design and implement embedded firmware for server management, telemetry, and control systems.
• Maintain and enhance custom OpenBMC firmware with new features and improvements.
• Enable real-time monitoring of power, thermal sensors, and hardware health.
• Collaborate with hardware engineers to validate firmware for existing and future platforms.
• Debug and optimize low-level drivers and protocols.
• Contribute to the long-term firmware architecture for GPU cluster reliability.

Requirements

• 5+ years of experience in embedded systems or firmware development.
• Proficiency in embedded Linux and languages including C, C++, Bash, and Go.
• Hands-on experience with BMCs, microcontrollers, or SoC firmware.
• Experience with OpenBMC, U-Boot, and the Linux Kernel.
• Knowledge of hardware interfaces (I2C, I3C, SPI, eSPI, UART) and protocols (SMBus, PCIe, PMBus, PECI).
• Must be authorized to work in the United States.

Nice to have

• Knowledge of the Yocto Project and D-Bus principles.
• Experience developing Linux drivers, especially those implementing sysfs and hwmon interfaces.
• Experience with server BMC firmware standards: IPMI, IPMB, KCS, SSIF, Redfish, and PLDM.
• Knowledge of GPU/CPU telemetry frameworks such as NVML or DCGM.
• Experience with RAS (Reliability, Availability, Serviceability) and firmware security (Secure Boot).

Culture & Benefits

• Competitive compensation and benefits packages.
• Career growth and continuous learning opportunities.
• Flexibility and emphasis on work-life balance.
• Collaborative and innovative culture within an international environment.
• Opportunity to work on impactful AI projects.