Senior Systems Engineer

Microsoft is seeking a highly motivated senior systems engineer to work in the Azure Cloud Hardware and Infrastructure Engineering (CHIE) team. This role involves collaborating across disciplines to create cutting-edge systems and modules for deployment in Microsoft's Azure Cloud.

As a Senior Systems Engineer, you will:

• Work directly with engineers across cross-functional teams to deliver hardware designs from concept to data center deployment.
• Interact with Microsoft's services teams and cross-discipline design teams, focusing on functional interfaces, developing test cases, and qualifying designs.
• Participate in architectural discussions and evaluate power, thermal, and cooling solutions for AI/ML workloads.
• Analyze new interfaces and subsystems, develop integration plans, analyze power efficiency, debug integration issues, and provide recommendations.
• Define system behavior and concept of operations for the platform to ensure compatibility with Microsoft Azure datacenter software, serviceability, telemetry, and customer expectations.
• Perform NUDD (new, unique, different, and difficult) technology and feature analysis, providing risk assessment and mitigations.
• Drive technical requirements and ensure solutions are flexible and scalable across the full (HW/FW/SW) stack.
• Enable platform and solution level discussions, influencing product architecture, and delivering on quality, reliability, and performance goals.
• Collaborate with internal, external, and open-source partners to onboard innovative technologies seamlessly.

Required Qualifications:

• 7+ years of technical engineering experience OR
• Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years of technical engineering experience OR
• Master's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years of technical engineering experience OR
• Doctorate degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field
• 5+ years of experience in developing power and thermal solutions for accelerator-based or compute-based hardware systems
• 5+ years of integrating and deploying new hardware technology

Preferred Qualifications:

• Hands-on experience developing GPU, FPGA-based accelerator platforms for AI/ML use cases
• Knowledge of high-volume silicon (SoCs, GPUs, or FPGAs), compute, storage, and/or networking design, manufacturing, and deployment
• Experience in power, thermal, and cooling systems
• Experience with high-speed interfaces such as PCIe, DDR, and Ethernet
• In-depth experience characterizing Silicon and system-level power consumption based on workloads
• Knowledge about datacenters & operations at scale

This role offers an exciting opportunity to work on state-of-the-art accelerator hardware solutions and contribute to Microsoft's cloud infrastructure. Join us in shaping the future of cloud computing and AI/ML technologies!