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Principal Software Engineering Manager - AI Platform

Washington, United States (On-site)

Principal Software Engineering Manager - AI Platform

34 Minutes ago • 8 Years + • Artificial Intelligence • $161,600 PA - $314,400 PA

About the job

14 skills required for this role

Add these skills to join the top 1% applicants for this job

java

tensorflow

javascript

cpp

deep-learning

azure

python

pytorch

sql

foundation

leadership

innovation

team-management

Job Description

Microsoft's AI Frameworks team seeks a Principal Software Engineering Manager to lead and mentor a team developing AI software enabling AI model execution across various platforms (supercomputers to IoT devices). The role involves managing the team, setting its technical direction, and hands-on software design and development. The team collaborates with hardware teams, partners, and OpenAI. Responsibilities include identifying requirements, scoping solutions, estimating work, scheduling deliverables, applying engineering principles for robust architectures, and collaborating across disciplines. Experience with C/C++, deep learning frameworks (PyTorch, TensorFlow, ONNX), and a solid understanding of software engineering principles are crucial.

Must have:

8+ years software development experience
8+ years C/C++ experience
8+ years technical leadership
Strong software engineering principles
Technical leadership and mentoring

Good to have:

Deep learning framework experience
Cross-team collaboration skills

Perks:

Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Networking opportunities

Overview

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. We collaborate with our hardware teams and partners to build the software stacks for AI across Microsoft.

Our stack enables Machine Learning (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 technical problems and is motivated to tackle building a full end-to-end AI stack.  An entrepreneurial approach and ability to take initiative and move fast are essential. 

Qualifications

Required/Minimum 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

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/Additional 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

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 for the role until February 3, 2025.

Responsibilities

Identify requirements, scope solutions, estimate work, schedule deliverables.
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.
Technical leadership and mentoring of software engineers. 
Embody our and .