Senior Firmware Engineer

Own firmware-based diagnostic readiness across Azure server platforms from architecture and bring-up through production support. Design diagnostic frameworks across silicon telemetry, hardware interfaces, platform firmware, operating systems, and cloud health systems. Lead platform bring-up, validation, and root-cause investigations for complex hardware, firmware, and system software issues. Develop diagnostic telemetry, health monitoring, fault-detection, automation, and triage tooling to improve fleet reliability. Collaborate with silicon vendors, ODM/OEM partners, and internal platform teams to define diagnostic requirements and improve serviceability. Mentor engineers and drive engineering excellence through design reviews, code reviews, metrics, validation coverage, and secure firmware practices. Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 1+ year(s) technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 4+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 5+ years technical engineering experience OR equivalent experience Experience with large-scale cloud infrastructure, hyperscale datacenters, Azure infrastructure, or fleet health management systems. 6+ years developing platform firmware, embedded software, or low-level systems software for server, embedded, or datacenter platforms. Strong proficiency in C/C++ with experience building, debugging, and shipping firmware solutions through full development cycles. Experience developing or debugging firmware-based diagnostic and validation solutions for server-class hardware. Ability to independently root-cause cross-stack issues involving hardware, firmware, operating systems, telemetry, and infrastructure. Strong collaboration and technical leadership skills, including driving discussions across multiple engineering organizations and external partners. Knowledge of memory diagnostics, PCIe diagnostics, storage reliability, accelerator/GPU health monitoring, or platform serviceability. Experience with firmware telemetry pipelines, cloud-scale diagnostic data analytics, reliability analysis, or predictive failure detection. Experience developing automation frameworks for validation, failure triage, manufacturing diagnostics, data collection, or fleet-scale testing. Experience with Rust, C#, Redfish protocols, and service-oriented architecture for firmware, diagnostics, platform management, or telemetry systems. Experience using AI-assisted or agentic code development workflows to improve engineering productivity, automation, validation, or diagnostics tooling.