Cambridge Research Intern - MSR Intelligent Networked Systems

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

Additional Responsibilities

· Develop AI, security, systems, and/or networking solutions that extend the state of the art in cloud-scale systems.

· Implement and evaluate prototypes using small-scale testbeds and large-scale production environments.

· Collaborate closely with team members on developing systems from prototyping to production level. Work closely with Azure engineering teams to drive scalable implementationsExamples of more specific responsibilities include.

· Use AI to improve network management and operation.

· Design and implement security and trust features in an OS kernel or in a hypervisor.

· Design, implement and evaluate novel solutions for improving network protocols,traffic management and/or verification on wide-area networks.

· Optimize cellular RAN behavior using AI/ML techniques.

· Implement prototypes of centralized traffic managers that can scale to large cloud networks.

· Extend a trusted execution environment (e.g., Intel SGX, AMD SEV) to a hardware accelerator, such as an FPGA or a GPU.

· Design and implement novel approaches to video-processing (e.g., ML, adaptive bitrate algorithms) for the 5G/edge.

· Extend container-orchestration systems to adaptively schedule workloads across clouds and edges and support high-performance container networking.

· Evaluate internship artifacts to support the publication of blog posts, white papers, and research papers., · Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.

We seek Research & Development Interns with stellar technical skills and backgrounds in AI, wide-area networking, wireless networking, distributed systems, operating systems, mobile systems, network verification and/or security. We are looking for applicants who have experience in large-scale systems and/or networks in addition to being fluent in the relevant state-of-the-art research. Applicants should be a team player in a collaborative and supportive environment with outstanding programming skills. The work will require excelling in fast-paced execution and implementation on Azure platforms. Applicants should demonstrate depth of knowledge in systems and networking and demonstrate experience in experimentation and implementation., · Currently enrolled in a PhD program in Computer Science or related field., · Experience building research or engineering systems in AI, security, networking or distributed systems, as demonstrated through university projects and/or prior work.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .