Principal Software Engineering Manager-AI Platform

The Artificial Intelligence (AI) Frameworks team at Microsoft develops AI software that enables running AI models everywhere, from the world’s fastest AI supercomputers to servers, desktops, mobile phones, IoT devices, and internet browsers. We collaborate with our hardware teams and partners to build the software stacks for AI across Microsoft.

Our stack enables ML developers to optimize and scale out model training and inference. 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.

We are looking to hire a Principal Software Engineering Manager- AI Platform to join the team. The team operates at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We are a cross-disciplinary team of highly capable and motivated people with a collaborative and inclusive culture. We collaborate with and contribute to the open-source community.

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, libraries, and APIs to enable large scale training and inferencing of models.

This is a technical management role: it requires managing an engineering team, helping set the technical direction of the team, and hands-on software design and development skills. We’re 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.

Responsibilities

• Manage and lead engineering team.
• Apply engineering principles for defining robust and maintainable architectures and designs.
• Collaborate broadly across multiple disciplines from hardware designers to ML developers.
• Identify requirements, scope solutions, estimate work, schedule deliverables.
• Technical leadership and mentoring of software engineers.
• Embody our Culture and Values.

Qualifications

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.
• 8+ years of software development experience.
• 8+ years' experience with C/C++.
• 8+ years of technical leadership experience in a software team.

Preferred Qualifications:

• Technical background and solid foundation in software engineering principles and architecture design.
• Ability to plan and influence technical designs on projects that will have potential long-term impact to Microsoft.
• Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, TensorFlow, ONNX, etc.).
• Great cross-team collaboration skills and the desire to collaborate in a team of researchers and developers.
• Communication skills (both written and oral).

Software Engineering M6 - 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.

#AIFX

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.