Microsoft Research Intern - Azure Cloud Server Performance 

United States, Washington 

199449311

• Currently enrolled in a PhD program in Computer Science, Computer Engineering, or a related STEM field.
• At least 1 year or project's worth of experience working with CPU performance counters, such as with EMON, Linux perf, or a similar method of working directly with microarchitectural performance counters in a hardware system, simulation, or emulation environment.

Other Requirements

• Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
• In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

• Ability to independently drive research ideas, plus collaborate with other researchers and development teams.
• Research publications on microarchitectural techniques, performance benchmarking, or cloud workload analysis.
• At least 1 year of experience working with a microarchitectural simulator, such as gem5 or Simplescalar.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

In this role, you will work to understand and classify cloud workload behavior. You will develop usage models based on hardware telemetry and use the data collected to influence benchmark selection and which hardware we put into next generation cloud systems. You will also gain insight into what workloads matter in a hyperscale public cloud and how platform and hardware design choices affect cloud customer experience and operational efficiency. The knowledge you gain will help you create the future of at-scale computing.