Microsoft Senior Software Development Engineer 

United States, California, Mountain View 

153863247

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Technical engineering experience with coding in languages C or C++.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience with one or more of these: DMAs, PCIe, Memory (DDR, HBM), Network Controllers, Image decoders.
• 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.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• 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 end-to-end 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.

  Other

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