Member of Technical Staff, High Performance Computing Engineering Manager

As Microsoft AI we are pushing the boundaries of technology.

We are creating unique, beautiful and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact.

We are seeking a High Performance Computing Engineering Manager to join our team and contribute to the evolution of our personal AI, Copilot. This role offers the unique opportunity to work on some of the largest scale supercomputers in the world, a rare chance to operate at such a significant scale. The right candidate will bring a wealth of positive energy, empathy, and kindness, coupled with a track record of effectiveness. You'll be proactive, relishing the challenge of crafting top-tier consumer experiences and products swiftly and efficiently. Our team is at the forefront of developing APIs that enhance our ability to fine-tune and deploy Copilot's core functionalities, in partnership with our Product Management, Design, and AI Research teams.

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future of personal computing.

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.

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.

Responsibilities:

• Cares deeply about building world-class AI applications that will delight users.
  
  
• Make hands-on contributions to platform code and infrastructure.
  
  
• Build and lead a team of software engineers, including driving project planning, prioritization of work, and designing features.
  
  
• Support, mentor, and help engineers grow, building an inclusive team environment where everyone can deliver their best work.
  
  
• Advocate for and maintain a culture of high-quality software development.
  
  
• Analyze telemetry and usage data to inform product decisions and troubleshoot issues.
  
  
• Work with diverse opinions and negotiate solutions, balancing customer requirements and business goals.
  
  
• 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.
    
    
• 4+ years of experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.)
• 4+ years of experience in managing, leading, and inspiring a team of engineers, including hiring, retaining, and managing performance.

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field 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.
    
    
• 6+ years people management experience.
  
  
• Experience with LLM training clusters.
  
  
• Experience working with AI platforms, frameworks, and APIs.
  
  
• Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
  
  
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI.
  
  
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

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: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until September 28, 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.