ARM

Intern, Research

ARM - full time

Austin, Texas, USA

04 Mar 2019

ARM

As the industry's leading supplier of microprocessor technology, Arm provides efficient, low-power chip intelligence making affordable, easy-to-use electronic innovations come to life. Arm engineers design and develop CPUs, graphics processors, complex system IP, supporting software development tools, and physical libraries.

We are seeking highly motivated interns to join Arm’s Research team to work on a variety of cutting-edge research for summer, or fall-term placements. Our architecture and systems research activities cover a wide range of disciplines including mobile and laptop personal computing and applications; server, cloud, and HPC computing; emerging memory technologies; interconnects; throughput and vector computing; formal design methods and security; exploiting parallelism with vector, SIMD, throughput, and multicore architecture; and machine learning and computer vision. Exceptional candidates can experience firsthand how Arm shapes an ecosystem of more than one thousand partners that ship over 10 billion leading-edge Arm-powered processors each year.

Job Requirements

Education & Qualifications

  • Pursuing MS degree or PhD in Computer Science / Computer Engineering
  • Candidates pursuing BS degree in Computer Science / Computer Engineering may be considered if they have project or work experience with essential skills and experience

Education & Qualifications

  • Pursuing MS degree or PhD in Computer Science / Computer Engineering
  • Candidates pursuing BS degree in Computer Science / Computer Engineering may be considered if they have project or work experience with essential skills and experience

Essential Skills & Experience

  • Candidates should have system architecture and analysis skills in at least two of the following areas:
  • Architecture and Micro-architecture knowledge of CPU, GPU, or systems
  • System performance analysis, modeling, and simulation with tools like gem5
  • Workload development and analysis
  • Strong programming skills using languages including C, C++, and Python along with excellent problem solving and debugging abilities
  • Experience with software workloads, benchmarking, and bottleneck / performance analysis with performance profiling tools
  • The candidate should also have expertise in one of the research areas of the group:
  • High performance computing applications, runtimes, and libraries (MPI, PGAS, etc.)
  • Server and cloud architecture
  • Network platform architecture
  • Machine learning, computer vision, and neural networks
  • SoC system architecture
  • Heterogeneous computing
  • Multi-processing and parallel computing
  • Heterogeneous computing
  • Virtualization and related memory system optimization
  • Experience in coding for SIMD and / or vector optimizations
  • Experience with hardware verification techniques
  • Experience with graph analytics
  • Scale-up / scale-out interconnect
  • Systems software (OS, runtimes, compilers)
  • Power modeling and analysis
  • Code optimization for GPUs
  • Programmable hardware accelerators
  • Algorithms for engineering or science workloads
  • Successful candidates will be enthusiastic, self-motivated, flexible, and have good written and verbal communication skills.



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