Microsoft Games
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 Description
The 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. Responsibilities
Define a roadmap for AI / ML usage across Firmware / Software Teams based on business ROI Evaluate emerging AI technologies and their applicability to Secure System design for SoC Architecture, development, and operational practices, leading to measurable increase in team efficiencies Work 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 efficiencies Develop and implement modular ML frameworks for hardware error prediction to enhance system reliability Ensure seamless integration of AI solutions with both hardware and software components Embody our culture and values Qualifications
Minimum 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 platforms Experience with building, deploying, and optimizing large-scale AI/ML models in real-world applications Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role Preferred Qualifications
12+ years of technical engineering experience Understanding of hardware and devices, or familiarity with OS device drivers and hardware health error reporting High tolerance to ambiguity and ability to make progress when situations are in flux Experience in developing or modifying deep learning algorithms/architectures to improve computational and memory efficiency Solid data engineering and analysis experience Proven track record of building, deploying, and optimizing large-scale AI/ML models in real-world applications Self-motivated and able to work independently with minimal supervision Communication and collaboration skills, with the ability to work effectively in cross-functional teams Microsoft 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.
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The 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. Responsibilities
Define a roadmap for AI / ML usage across Firmware / Software Teams based on business ROI Evaluate emerging AI technologies and their applicability to Secure System design for SoC Architecture, development, and operational practices, leading to measurable increase in team efficiencies Work 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 efficiencies Develop and implement modular ML frameworks for hardware error prediction to enhance system reliability Ensure seamless integration of AI solutions with both hardware and software components Embody our culture and values Qualifications
Minimum 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 platforms Experience with building, deploying, and optimizing large-scale AI/ML models in real-world applications Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role Preferred Qualifications
12+ years of technical engineering experience Understanding of hardware and devices, or familiarity with OS device drivers and hardware health error reporting High tolerance to ambiguity and ability to make progress when situations are in flux Experience in developing or modifying deep learning algorithms/architectures to improve computational and memory efficiency Solid data engineering and analysis experience Proven track record of building, deploying, and optimizing large-scale AI/ML models in real-world applications Self-motivated and able to work independently with minimal supervision Communication and collaboration skills, with the ability to work effectively in cross-functional teams Microsoft 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.
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