Location: Bengaluru, Karnataka, India
Experience: 7+ Years
Employment Type: Full-Time
Overview:
Join the team powering Microsoft’s global cloud infrastructure. The Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) team is the foundation behind services like Azure, Office 365, Xbox Live, and more. We build and scale the intelligent cloud infrastructure, driving innovation and reliability across more than 200 online businesses. We are seeking a Senior System Engineer to work on cutting-edge cloud hardware systems and AI infrastructure. This role is ideal for experienced professionals passionate about server platform design, networking architecture, and delivering scalable solutions for the cloud. Become part of an elite team that defines hardware operational success and advances Microsoft’s mission to empower every person and organization on the planet to achieve more.
Key Responsibilities:
- Lead the design, validation, and integration of server systems/platforms for enterprise and cloud-scale environments.
- Drive network architecture and implementation of cloud-grade front-end and back-end systems.
- Perform post-silicon validation, system bring-up, functional validation, and end-to-end platform qualification.
- Define and execute test cases across performance, scalability, and functionality.
- Troubleshoot complex network issues across all layers—physical to protocol—and develop reliable solutions.
- Collaborate with cross-functional teams to ensure delivery of high-performance, cost-effective, and scalable infrastructure systems.
Required Qualifications:
- Bachelor’s/Master’s degree in Electrical, Computer, or Electronics Engineering.
- 7+ years of experience in server system/platform design or validation for cloud or enterprise segments.
- Minimum 5+ years of experience with cloud-grade network architecture (front-end and back-end).
- Strong grasp of Ethernet stack, QoS, traffic control, and routing protocols like BGP, ECMP.
- Deep understanding of CLOS networks, congestion handling (DCQCN, PFC, CBFC), and NPU architecture.
- Hands-on experience with networking hardware – QSFP-DD cables, DACs, NICs, switches, PHYs.
- Demonstrated ability to troubleshoot across multiple network layers.
- Experience defining validation frameworks for large-scale networking systems.
Preferred Qualifications:
- Understanding of AI networking, ultra-ethernet, and traffic collectives in AI workloads.
- Experience with platform-level debug tools (JTAG, Lauterbach, Arium).
- Proven capability in system-level debugging—hardware, firmware, thermal, CPLD/FPGA.
- Scripting/programming knowledge: Python, Perl, Shell scripting.
- Strong verbal and written communication skills with cross-functional team collaboration.