Senior Embedded Software Engineer

Описание

Nebius is an international cloud technology company focused on infrastructure for artificial intelligence. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment.

Responsibilities

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

Requirements

• 5+ years in embedded systems or firmware development
• Proficiency in embedded Linux
• Hands-on experience with BMCs, microcontrollers, or SoC firmware
• Understanding of hardware bring-up and debugging
• Languages: C, C++, Bash, Go, YAML
• Firmware: OpenBMC, U-Boot, Linux Kernel
• Interfaces: I2C, I3C, SPI, eSPI, UART, LPC
• Protocols: SMBus, PCIe, PMBus, PECI
• Build Systems: Meson, CMake
• Descriptors & Formats: FRU, SMBIOS, ACPI, DMI

Nice to have

• Knowledge of the Yocto Project principles
• Knowledge of systems and D-Bus principles
• Proficiency in C++
• Good knowledge of C, sufficient for periodic work with Linux drivers and the U-Boot bootloader
• Experience in developing Linux drivers of any kind, especially those implementing sysfs and hwmon interfaces
• Experience with server BMC firmware IPMI, IPMB, KCS, SSIF, Redfish, PLDM
• Knowledge of GPU/CPU telemetry frameworks (e.g., NVML, DCGM)
• Exposure to firmware security (Secure Boot, signed firmware)
• Experience with RAS (Reliability, Availability, Serviceability)
• Background in high-performance computing or data center hardware

We offer

• Competitive compensation and benefits packages
• Base Compensation Range: $179,500—$269,200 USD
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams
• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI