Job Description

Microsoft is seeking a Senior Network Systems Engineer to join the Silicon, Cloud Hardware, and Infrastructure Engineering team, responsible for delivering innovative hardware solutions for AI/ML workloads within Microsoft Azure's infrastructure.

Requirements

Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience OR equivalent experience.
5+ years of relevant experience in system (compute, networking, and/or accelerator) level design and/or implementation across the hardware development lifecycle.
5+ years of hands-on experience in developing AI/ML scale up and scale out networking for accelerator-based hardware systems.
5+ years of experience to work across multiple disciplines (hardware, firmware, software, and/or data center infrastructure) to identify risks, drive discussions, detail system tradeoffs, and assess impact.

Responsibilities

Collaborate with architecture, silicon engineering, firmware, hardware design, hardware validation, OS, manufacturing, and customer teams to build state-of-the-art accelerator hardware solutions.
Participate in architectural discussions and evaluate networking performance required to meet the demands of AI/ML workloads.
Analyze new interfaces and subsystems to 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 technology and feature analysis and provide risk assessment and mitigations.
Drive technical requirements and ensure the solution is flexible and scalable across the full (HW/FW/SW) stack.
Enable platform and solution level discussions, influencing architecture of the product, and delivering to product goals across quality, reliability, and performance.
Collaborate with internal, external, and open-source partners to onboard innovative technologies in a seamless manner.