Microsoft Principal Software Engineering Manager- AI Platform 

United States, Washington 

814857122

Artificial Intelligence (and scale out model training and inference.

and developer tools (debugger, profiler, simulatorfor the novel AI accelerator

As a member of this team, you will have the opportunity tosystem software, developer tools and experienceto enable large scale training and inferencing of models on novel AI hardware.

Required Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline 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.

• + years of software development experience

• + years of people management experience

• + years' experience with C/C++

Other Requirements:

• Abilityto meet Microsoft, customer and/or government security screening requirementsarerequired 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

• + years of people management experience

• A technical background and solid foundation in software engineering principles and architecture design

• Experience in building developer tools such as debuggers and profilers

• Exposure toNvdia/AMD tools forDeep Neural Network training and inferencedevelopment

• Experience in developing SW/FW and or PCIe drivers for SoCs

• Exposure to large scale distributed systems and micro-services

• Great cross-team collaboration skills and the desire to collaborate in a team of researchers and developers

• skills (both written and oral)

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

• Hire, build and manage a team of engineers responsible for delivering large scale AI inferencing and training infrastructure.

• Mentor less experienced team members

• Lead the definition of requirements,prioritiesand planning of engineering deliverables.

• Apply engineering principles for defining robust and maintainable architectures and designs.Helpestablishand drive the adoption of good coding standards and patterns.

• Collaborate broadly across multiple disciplines from hardware designers to ML developers to create innovative solutions.

• Perform software development in C/C++, Python,C#and other languages.

Embody our