Principal Software Engineer

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The Microsoft Silicon Engineering Solutions and Cloud Hardware Infrastructure Engineering (SCHIE) team is responsible for developing and delivering the hardware and 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 Firmware Center of Excellence is responsible for Hardware/Firmware for Azure Infrastructure. We are working on the next generation Hardware/Firmware for server, silicon and rack infrastructure with a focus on innovation in firmware technology.

We are looking for a highly motivated Principal Software Engineer with a background in AI and machine learning. You also have basic knowledge of hardware system designing and conceptually understand modern computer architecture (CPUs and GPUs). You are proficient in software development skills and proficient in at least one major programming language.

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.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 2+ years of industry experience with common ML engineering programming languages and platforms such as Python, Databricks, Synapse, etc.
• 1+ years of experience in data engineering and analysis experience.

Other Requirements:

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.

Preferred Qualifications:

• 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.
• 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.
• Proficient communication and collaboration skills, with the ability to work effectively in cross-functional teams.

#SCHIE #azurehwjobs

• Develop and implement AI/ML algorithms: Design and optimize machine learning models to enhance hardware performance and reliability

• Collaborate with cross-functional teams: Work closely with product architects, firmware teams, and product managers to provide critical guidance and system-level debugging

• System-on-Chip (SoC) architecture: Learn about modern SoC architecture and design, root causing issues at the intersection of multiple subsystems across firmware and hardware

• Failure prediction and detection: Develop and implement modular ML frameworks for hardware error prediction to enhance system reliability

• Hardware and software integration: Ensure seamless integration of AI solutions with both hardware and software components

• Embody our culture and values.