Principal Software Engineering Manager

AI is the strategic bet for Microsoft. The Azure AI Platform is right at the forefront. Our projects involve cutting edge technologies and problems. Joining the projects you will gain knowledge and experience about generative AI, large language models, large scale inference infrastructure, GPU optimization, AI applications, etc.

The Model Scaling Platform team within AI Platform is responsible for managing all the inferencing capacity that powers Microsoft’s AI ambitions. Our fleet running state-of-the-art Open AI models provides the foundation for Microsoft’s various Copilots and Azure Open AI Service. We manage a vast number of premium AI accelerators and aim to leverage them in the most agile and efficient manner. Our services and the products they power are experiencing incredible growth. As part of this team, you will have opportunities to work across team boundaries and tackle hard system problems which translate to business impact that directly affect Microsoft’s bottom line.

We are looking for a Principal Software Engineering Manager to help guide the team on this journey. We value someone with a demonstrated history of solving hard system problems. You will be managing a highly performant group of engineers and setting technical directions for the team. You will have the opportunity to be hands-on and help lay the foundations for a new set of systems we are building.

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. 

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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 2+ years of people management experience

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 Qualifications:

• Bachelor'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 Master'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.

• 4+ years people management experience.
• Experience with distributed systems design and implementation.
• Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD)
• Passion for machine learning, artificial intelligence, and data science.
• Experience working on large-scale projects or applications.
• Effective communication skills and ability to collaborate with diverse remote teams.
• Quick learner with a passion for solving complex and exciting problems.
• Familiarity with Azure is a plus.
• Familiarity with large language model and generative AI is a plus.

Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until November 22, 2024.

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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.

#AIPLATFORM#  #MODELSCALING-MAAS#  #Afrotech2024

• Manage and lead engineering team.
• Collaborate with key stakeholders to comprehend and identify user requirements, scope solutions, estimate work, and schedule deliverables.
• Lead discussions on the architecture of products or solutions and apply engineering principles to establish robust and maintainable architecture and designs.
• Manage and drive feature execution with high quality and great agility.
• Lead by example by producing extensible and maintainable code, adhering to best engineering practices, raising the quality bar, and improving the team's response to customer incidents.
• Lead the team to respond, resolve, and integrate customer feedback with agility and dedication.
• Mentor and grow members of the team.
• Embody our culture and values