Job Description

Microsoft Silicon and Cloud Hardware Infrastructure Engineering (SCHIE) is the team behind Microsofts expanding Cloud Infrastructure and responsible for powering Microsofts Intelligent Cloud mission. We are looking to develop custom silicon and SoCs to deploy in Azure and with this position our focus is on the Microsoft Azure AI Accelerator (MAIA) roadmap.Are you passionate about working on cutting edge 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? Within the Firmware Center of Excellence, were looking for a customer-focused, hands-on SW engineering manager to help us develop a suite of system validation and diagnostic tests running on a custom-developed production AI software stack. You will be working on latest state-of-the art technologies, in a fun environment with a talented group of individuals with diverse backgrounds and skillsets and located in different geographic locations.Responsibilities:

• Develop compute-intensive and highly performant test applications running on the MAIA hardware systems, focusing on PCIe, Memory, back-end network & TDP workloads.

• Design and develop workload profiling and analysis tools that capture and benchmark the runtimes of various compute blocks and/or hardware accelerators.

• Develop bare metal end-to-end pre/post-silicon tests and tools for functional and performance scenarios of the system.

• Collaborate across organizations with AI Frameworks SW, Silicon & System Validation, Architecture and Firmware.

Qualifications:Required Qualifications:

• BS. or higher in Computer Science, Computer Engineering, Electrical Engineering, or similar.

• 5+ years experience in software development with C++

• 5+ years experience in post-silicon SoC or system validation or diagnostic/stress test content development.

• Experience with one or more of these: DMAs, PCIe, Memory (DDR, HBM), Network Controllers, Image decoders.

Preferred Qualifications:

• Experience in build systems such as CMake and familiarity with CI/CD systems.

• Knowledge of power and thermal profiling, TDP/PnP, and PVT characterization.

• Knowledge of or experience with AI models/kernels such as GPT, Gemm or Codex.

• Experience with Cuda or GPU or tensor-based programming is a plus+

• Ability to work closely with diverse customers, from understanding their needs to resolving their problems.

#SCHIEINDIAMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the .

Microsoft