Microsoft Principal Software Engineer - AI Platform 

United States, Washington 

646369453

The Artificial Intelligence (AI) Frameworks team at Microsoft develops AI software that enables running AI models everywhere, from world’s fastest AI supercomputers, to servers, desktops, mobile phones, IoT devices, and internet browsers.I acrossMicrosoft.

Our stack enablesML developers toand scale outmodel traininginference.  We work directly with OpenAI on the models hosted on the Azure OpenAI service.The ONNX Runtime is shipped in major Microsoft products, including Office, Windows, Bing, SQL Server, and Dynamics, serving trillions of inferences daily.

at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We are a cross.source community.

We are looking to hire a Principal Software Engineer- AI Platform to join our team. As a member of this team, you will have the opportunity to work on multiple levels of the AI software stack, including the fundamental abstractions, programming models, compilers, runtimes,and APIs to enable large scale training and inferencing of models.

This is an Individual contributor roleas a senior technical leaderit requiressetting the technical direction for the projects in the area, and hands on software design and development skills.looking for someone who has a demonstrated history of solving hard technical problems and is motivated to tackle the hardest problems in building a full end-to-end AI stack.  An entrepreneurial approach and ability to take initiative and move fast are essential.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required 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.

• 6+ years of software development experience

• 5+ years' experience with C/C++

• + years of technical leadership experience in a software team

Other Requirements

to meet Microsoft, customer and/or government security screening requirementsfor this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will berequiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

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

• Ability to planandinfluence technical designs on projects that will have potentiallong-termimpact to Microsoft.

• Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch,TensorFlow, ONNX,etc.)

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

• Solid communicationskills (both written and oral)

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $209,600 - $314,400 per year.

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

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

• .

• Apply engineering principles for defining robust and maintainable architectures and designs.

• requirements, scope solutions, estimate work, schedule deliverables.

• Collaborate with partner teams to drive holistic solutions across the stack.

• Technical leadership and mentoring of software engineers.

• Other

  • Embody our