Principal Firmware Engineer

Microsoft Silicon and Cloud Hardware Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding cloud infrastructure, powering the company's Intelligent Cloud and AI platforms through industry-leading silicon, systems, and hardware innovation. 

Are you passionate about building cutting-edge technologies in an environment that embraces a growth mindset? Do you want to help shape the future of AI infrastructure while contributing to Microsoft's mission to empower every person and every organization on the planet to achieve more? 

The Firmware Center of Excellence (FW CoE) within SCHIE is responsible for delivering the hardware and firmware technologies that power Azure infrastructure. As part of this organization, we are seeking a Principal Firmware Engineer to lead the design and evolution of Microsoft's AI accelerator validation and performance characterization frameworks, supporting the MAIA roadmap and future generations of Azure AI silicon. 

In this role, you will drive the architecture and development of scalable stress, validation and performance characterization solutions used across Microsoft's AI accelerator programs. You will work at the intersection of system architecture, firmware, software, performance engineering, AI workloads, and silicon validation to enable high-confidence silicon bring-up, characterization, and deployment at hyperscale. You will partner closely with teams spanning these disciplines to develop and operationalize validation frameworks and workload solutions that exercise compute, memory, networking, and platform infrastructure under both synthetic stress conditions and representative customer AI workloads. Your work will directly influence silicon readiness, platform quality, performance optimization, and production deployment of Microsoft's next-generation AI infrastructure. 

We are looking for a technically strong leader who combines deep systems expertise with a passion for solving complex engineering problems, driving cross-organizational impact, and mentoring teams to deliver world-class solutions at cloud scale. You will be working on latest state-of-the art technologies, in a fun environment with a talented group of individuals with diverse backgrounds and skillsets and located in different geographic locations. 

#SCHIE 

• Define and drive the technical vision, architecture, and roadmap for scalable system stress and performance characterization frameworks across current and future AI accelerator generations.  

• Design and development of highly-performant validation and stress workloads spanning GPU Compute engines, memory, networking, PCIe, and DMA subsystems.  

• Architect and develop end-to-end validation strategies from pre-silicon environments through post-silicon bring-up, characterization, and production deployment with a goal to identify hardware, firmware, and system-level reliability issues as early as possible 

• Develop end-to-end post-silicon tests and tools for functional and performance scenarios of the system. 

• Develop performance analysis, telemetry, and observability solutions to measure compute utilization, memory bandwidth, network throughput, power, thermal behavior and end-to-end workload performance.  

• Drive adoption of profiling, performance monitoring, and other platform observability technologies to accelerate debugging, tuning, and characterization.  

• Partner closely with Architecture, AI software, Firmware, Silicon Validation, Manufacturing, Performance Engineering, and Cloud Infrastructure teams to influence platform requirements and readiness.  

• Provide technical leadership through design reviews, architecture guidance, and strategic recommendations to engineering leadership.  

• Mentor engineers across workload development, performance optimization, debugging, automation, and validation, while establishing best practices for software quality, CI/CD, telemetry, and large-scale system validation.  

• Drive execution across multiple programs, balancing deep technical contribution with broad organizational impact.