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The Hardware Control Services (HCS) team within Microsoft’s Silicon Cloud Hardware Infrastructure Engineering (SCHIE) organization is responsible for building and operating world-class software and data-driven services that support Azure’s hardware infrastructure development, enabling safe, reliable, and intelligent deployment of firmware payloads across the Azure fleet.

Requirements

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C, Java, JavaScript, or Python
• 2+ years of experience in applied machine learning, data science, or statistical modeling.
• Proficiency in Python, R, or similar languages used for data science and ML development.
• Proven understanding of algorithms, data structures, and system design.
• Experience working with large-scale data pipelines and distributed systems
• Experience with cloud platforms (e.g., Azure, AWS, GCP) and deploying ML models in production environments.

Responsibilities

• Design and implement machine learning models and statistical algorithms to improve firmware deployment safety, fleet health monitoring, and anomaly detection.
• Analyze large-scale telemetry and operational data to uncover insights and drive data-informed decisions.
• Collaborate with software engineers to integrate models into production services with high availability and performance.
• Partner with hardware and firmware teams to understand system behavior and identify opportunities for predictive analytics.
• Contribute to the architecture and design of next-generation intelligent control systems for Azure hardware.
• Participate in on-call rotations and contribute to service reliability and incident resolution.

Other

• Ability to meet Microsoft, customer and/or government security screening requirements
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
• Demonstrated ability to work in cross-functional teams and drive impact through collaboration.
• Proficient communication skills and a passion for solving complex, real-world problems.
• Bachelor's Degree in Computer Science or related technical field