Principal Firmware AI Architect

Microsoft Corporation•Austin, TX

36d

About The Position

The Microsoft Silicon Engineering Solutions and Cloud Hardware Infrastructure Engineering (SCHIE) team is responsible for developing and delivering the hardware/firmware that is responsible for powering 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 trusted experience to customers and partners worldwide and 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 which is built on a mission "To empower every person and organization on this planet to achieve more"? 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. The candidate will combine deep technical expertise in security with a foundation in AI/ML, enabling Microsoft to stay ahead of evolving cyber threats. 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. â¯ Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. We are looking for a Principal Firmware AI Architect to join our team!

Requirements

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 any of building, deploying, and optimizing large-scale AI/ML models in real-world applications.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings: - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

12+ years of technical engineering experience OR Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 10+ years of technical engineering experience OR Master's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 7+ 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.
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.

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.

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