Principal Software Engineering Manager

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure’s innovation and differentiation, as well as all of Microsoft’s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

 Within AI Platform, the Cognitive Services team empowers developers and data scientists around the world and of all skill levels to easily add AI capabilities to their apps. 

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR 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 equivalent experience
• 4+ years people management experience
• 3+ years of technical engineering experience with cloud services
• 3+ years experience in designing and leading the development of distributed systems
• 1+ years technical engineering experience with Deep Neural Network training and inference - experience in one or more deep learning frameworks (PyTorch, Tensorflow, ONNX, etc.)
• Knowledge of containerization technologies (i.e. Docker) and orchestration tools (e.g., Kubernetes)
• Experience in leading and managing the development of distributed systems
• Ability to influence technical direction at an organizational level
• Strong communication skills for collaborating with cross-functional teams and presenting technical concepts

Preferred/Additional Qualifications:

• 3+ years technical engineering experience with Deep Neural Network training and inference - experience in one or more deep learning frameworks (PyTorch, Tensorflow, ONNX, etc.)

#IDCAIPlatformHiring

 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Work directly with data scientists and researchers to deliver high quality machine learning models
• Demonstrate keen attention to detail and data interpretation skills to effectively monitor, troubleshoot, and diagnose issues in a live site system
• Lead and mentor a team of software engineers, providing technical guidance and support
• Define and drive the long-term technical strategy for the projects and services
• Oversee the planning, execution, and delivery of projects related to the service
• Collaborate with cross-functional teams, including product managers and data scientists, to ensure alignment with business goals
• Provide thought leadership that shape the direction of the machine learning service and associated technologies
• Recruit, onboard, and develop top engineering talent