Senior Researcher – Azure Research – Systems, AI Infrastructure Power Full-time

Overview

Azure Research – Systems is a world-class research group embedded in Azure that pushes the limit of software systems for cloud platforms. We focus primarily on improving the efficiency of the cloud infrastructure across the entire hardware and software stack. We collaborate very closely with production teams in Azure to deploy our research and have had tremendous impact. We also routinely collaborate with academic and industry partners to advance the state of the art. Finally, we engage with the research community through publications in the top venues in Computer Science, blog posts, open-source releases, patents, and participation in conferences. Our group provides a collaborative, supportive, inclusive, and respectful environment for some of the world’s best engineers and researchers. Together, we strive to create innovative solutions to computing’s toughest challenges.

We are looking for a highly skilled Senior Researcher to work on improving the power and energy efficiency of current and future AI infrastructure stack, including the large fleet of Graphics Processing Units (GPUs), through a combination of algorithmic, systems, and architecture techniques. You will work with some of the most pressing challenges in improving the efficiency and sustainability of the infrastructure powering the current AI revolution.

You will work with other researchers and engineers, in collaboration with industry partners and workload owners, to drive an ambitious research agenda, with the goal of advancing the state of the art and having a large impact in production. You will have the opportunity of mentoring new team members in support of their career goals, as well as research interns. You will also be able to propose, work on, and publish cutting-edge research in computer systems.

Further, this opportunity will allow you to gain understanding of the inner workings of a hyperscale cloud. You will have many growth opportunities on our team, you will learn and grow in your career, and gain visibility both internally and externally. If you thrive in environments seeking innovation and fast-paced entrepreneurial execution, then this is the place for you.

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.

Responsibilities

• Advance a research agenda through one or more research projects, with the goal of advancing the state of the art and having impact in production. The research will yield new algorithms, prototypes, insights, and more.
• Collaborate with members of the group and relevant product or business groups to help translate research results and prototypes into production impact.
• Publish and contribute to top scientific conferences and journals.
• Mentor research interns and participate in onboarding team members. You’ll guide team members in processes and scenarios, research projects, and their careers.
• Embody our Culture and Values.

Qualifications

Required Qualifications:

• Doctorate in relevant field.
  • OR equivalent 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.

Additional / Preferred Qualifications:

• Doctorate in relevant field AND 2+ years related research experience.
  • OR equivalent experience.
• Experience publishing academic papers as a lead author or essential contributor.
• Experience participating in a top conference in relevant research domain.
• Research experience and one or more publications in top conferences/journals (NeurIPS, ICML, ICLR, ISCA, MICRO, ASPLOS, HPCA, SOSP, OSDI, NSDI, etc).
• Knowledge of state-of-the-art Large Language Models (LLMs)
• Experience in improving the design and training/inference efficiency of generative AI systems, including LLM agent frameworks, adaptive computation, model architecture optimization, etc.
• Experience with one or more programming languages: Python, C/C++, Java, etc.
• Ability to work independently and in a team, take initiative and lead engagements as required.

Research Sciences IC4 – The typical base pay range for this role across the U.S. is USD $117,200 – $229,200 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 $153,600 – $250,200 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 August 20, 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.

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