Microsoft Principal Architect 

United States, Washington 

115354252

tech leader toarchitect and drivetechniques such as LLM,Index Servingin large scale like 100K+ nodesposition to meet your technical

systems and have experiencedgreat successin building efficient large scale distributed systems for search.per decadeto build up AI intelligence is becoming bigger.

Bing Fundamentalsyet efficient index serving platform. On this platform, relevance techniques can be quickly implemented, iterated,relevant documents.

Required/minimum 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 equivalent experience.

• Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
• Experienceonhigh-performance computing (e.g., cache/memory optimization, high-performance GPU programming, compiler-based optimization, fine-grained parallel library, and runtime) or distributed systems (e.g., communication optimization, network architecture design, network programming) is a plus.
• Capable of quantitatively implementing and qualifying a solution in a distributed environment with DevOps model
• Experiencesonbuilding Machine Learning/Deep Learning systems is a plus.
• Experience on performance analysis and optimization for both CPUs and GPUs, as well as good understandingonsoftware-hardware codesign, is a plus.

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

• backend serving knowledge and experience withbig-pictureoflarge scaleservice design.

• Agile servicedevelopment.

• Innovative algorithm design for best performance, latency, scalability, and efficiency.

• Service performance profiling and scaling-up; and

• Collaborating across multiple teams to design and deliver the solutions.