Microsoft Senior AI Architect 

United States, California, Mountain View 

367955193

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.
• 5+ years of experience developing/architecting high end CPUs and Accelerators.
• Understanding of large language models, training and inference.
• Experience in python programming and SW engineering.

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:

• MS/PhD in Machine learning, Computer Architecture/Systems, Electrical Engineering, High-Performance Computing or related areas.
• Working knowledge of prevailingLarge Language Models(LLM)and frameworks like Tensorflow, Pytorch is a plus.
• Good communication and collaborative mindset.
• Effective problem-solving skills and attention to details.

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

• Develop in-house performance modeling tool for Machine Learning systems.
• Work with deployment and Software(SW) framework teams to enhance Artificial Intelligence(AI) modeling scenarios.
• Identify performance bottlenecks, optimize resource utilization, and implement improvements to enhance performance.
• Help architect large scale systems which support breakthrough performance AI workloads to shape Azure’s AI infrastructure roadmap.
• Drive Neural Networks(NN) model/Hardware(HW) codesign.
• Understand business critical AI workloads/applications.
• Developing and analysing novel NN architectures.
• Other
  • Embody our and