Microsoft Senior AI Hardware Architect 

United States, Washington 

854938871

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.

• 3+ years of experience in Computer Architecture or AI Systems.

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/Additional Qualifications:

• MS/PhD in Machine learning, Computer Architecture/Systems, Electrical Engineering, High-PerformanceComputingor related areas.
• Knowledge of commonly used AI and HPC workloads and how they are mapped onto large scale systems.
• Hands on experience with frameworks such asPytorch/Tensorflow/TensorRT.
• Deep knowledge of CNN/transformer architecture and optimization strategies – quantization, sparsity, sharding, KV Cache, Flash Attention.
• Solid programming skills in Python/C/C++.

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

Microsoft will accept applications for the role until December 27, 2024.

• • Analyse Hardware Architecture for AI workloads.
  • Architecting large scale systems which support breakthrough performance AI workloads to shapeAzure’s AI infrastructure roadmap.
  • Benchmark GPUs and other AI hardware IPs.
  • Drive NN model/HW codesign.
  • Understand business critical AI workloads/applications.
  • Developing and analysing novel NN architectures.
  • Embody our