Firmware Engineer (AI)

Location: Mountain View, California, United States

Salary: $250,000–$375,000 per year

Company

hirify.global is hiring for an early-stage AI hardware company developing custom AI accelerator systems.

What you will do

• Develop platform firmware across boot ROMs, bootloaders, embedded controllers, BMCs, and device firmware.
• Implement secure boot, hardware root of trust, measured and verified boot, code signing, authenticated updates, anti-rollback protections, and secure debug.
• Build power-management firmware for power sequencing, PMIC and voltage-rail control, DVFS, thermal protection, and system power budgeting.
• Develop platform monitoring and telemetry for sensors, health, RAS, error logging, and system-management interfaces.
• Build JTAG, scan, and other debug infrastructure while supporting board bring-up and post-silicon validation.
• Collaborate with silicon architecture, hardware, and software teams on firmware interfaces, threat modeling, and hardware-software co-design.

Requirements

• 5+ years of experience developing platform or system firmware.
• Strong C and assembly programming skills for embedded or firmware environments.
• Experience with bare-metal or RTOS-based firmware on ARM or similar architectures.
• Hands-on experience with boot firmware, embedded controllers, BMCs, or device firmware.
• Direct experience with secure boot, hardware root of trust, code signing, chain of trust, and secure or anti-rollback firmware updates.
• Experience with power management, platform monitoring, telemetry, RAS, JTAG, datasheets, and lab-based bring-up using oscilloscopes and logic analyzers.

Nice to have

• Rust, OpenBMC, UEFI, or coreboot experience.
• Experience with accelerator, GPU, server, or data-center platform firmware.
• Applied cryptography, key management, ARM TrustZone, side-channel or fault-injection security.
• Knowledge of NIST SP 800-193, FIPS 140-3, SBOM, or software supply-chain security.

Culture & Benefits

• Early-stage environment focused on building AI accelerator platforms.
• Cross-functional collaboration across silicon, hardware, and software engineering.
• Use of assisted development and code-review tools to accelerate delivery and improve quality.