Principal Firmware AI Architect

The Microsoft Silicon Engineering Solutions and Cloud Hardware Infrastructure Engineering (SCHIE) team is responsible for developing and delivering the hardware/firmware that powers Microsoft's "Intelligent Cloud" mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses, including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive, and the Microsoft Azure platform globally, with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions.Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide. We are looking for passionate, motivated engineers to help achieve that mission.Are you passionate about working on cutting-edge new technology in a team that embodies the growth mindset? Are you hoping to join an organization built on a mission "To empower every person and organization on this planet to achieve more"?Job DescriptionThe Security Development team is seeking a visionary Principal Firmware AI Architect to lead the integration of AI and machine learning into our security architecture. This role will drive innovation across firmware and software security layers, leveraging AI to proactively detect, predict, and mitigate threats, to help increase efficiencies across the security dev teams, in Azure's hardware infrastructure.This hands-on role will provide technical leadership across the organization and on a growing team tasked with accelerating our productivity and processes so that every developer can achieve more. To be successful in this role, you have a great track record of delivering quality results to customers, an engineering mindset, an innate aptitude for agility, background in AI/ML, and technical excellence in software/firmware engineering.ResponsibilitiesDefine a roadmap for AI / ML usage across Firmware / Software Teams based on business ROIEvaluate emerging AI technologies and their applicability to Secure System design for SoC Architecture, development, and operational practices, leading to measurable increase in team efficienciesWork closely with product architects, firmware teams, and product managers to provide critical guidance and system-level debugging using AI tools leading to increase in debugging efficienciesDevelop and implement modular ML frameworks for hardware error prediction to enhance system reliabilityEnsure seamless integration of AI solutions with both hardware and software componentsEmbody our culture and valuesQualificationsMinimum Qualifications: Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 3+ years technical engineering experience, OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 6+ years technical engineering experience, OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 8+ years technical engineering experience, OR equivalent experience.1+ years of industry experience with common ML engineering programming languages and platforms such as Python, Databricks, Synapse, or equivalent platformsExperience with building, deploying, and optimizing large-scale AI/ML models in real-world applicationsOther RequirementsAbility to meet Microsoft, customer and/or government security screening requirements are required for this rolePreferred Qualifications12+ years of technical engineering experienceUnderstanding of hardware and devices, or familiarity with OS device drivers and hardware health error reportingHigh tolerance to ambiguity and ability to make progress when situations are in fluxExperience in developing or modifying deep learning algorithms/architectures to improve computational and memory efficiencySolid data engineering and analysis experienceProven track record of building, deploying, and optimizing large-scale AI/ML models in real-world applicationsSelf-motivated and able to work independently with minimal supervisionCommunication and collaboration skills, with the ability to work effectively in cross-functional teamsMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. #J-18808-Ljbffr

Created: 2025-10-07