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Job Title: Runtime/Driver Software Development Engineer Intern
Location: Cupertino, CA United States
Position Type: Full Time
Post Date: 11/28/2020
Expire Date: 01/28/2021
Job Categories: Computers, Software
Job Description
Runtime/Driver Software Development Engineer Intern
Annapurna Labs builds high-performance hardware and software solutions used in AWS data centers globally. Weíre looking for Software Engineer Interns with a passion for runtime development of Neuron SDK. The runtime will enable customers to utilize the inference capabilities of an AWS custom designed chip (Inferentia).
The ideal candidate will have experience with high-performance Linux drivers, HPC technologies, libfabric, MPI, and delivering products to customers, from previous study/research projects and/or internships. This role is part of an impactful team, crucial to AWS ML infrastructure.

This is a student summer 2021 internship, applicants must be enrolled into fulltime degree program for the entire duration of the internship.

BASIC QUALIFICATIONS
∑ Currently enrolled in a Bachelorís or Masterís Degree in Computer Science, Computer Engineering, or related field
∑ Experience developing Linux kernel and user space drivers
∑ Experience designing high performance drivers for accelerators or HPC products

PREFERRED QUALIFICATIONS
∑ Currently enrolled in a M.S. or Ph.D. in software engineering or related field
∑ Experience with PCIe and memory-mapped I/O
∑ Experience with Virtualization, Hypervisors, and SR-IOV
∑ Experience with network stack and network designs
∑ Experience with cluster communication systems: MPI, OFED, Libfabric, and RDMA
Qualifications & Requirements
BASIC QUALIFICATIONS
∑ Currently enrolled in a Bachelorís or Masterís Degree in Computer Science, Computer Engineering, or related field
∑ Experience developing Linux kernel and user space drivers
∑ Experience designing high performance drivers for accelerators or HPC products

PREFERRED QUALIFICATIONS
∑ Currently enrolled in a M.S. or Ph.D. in software engineering or related field
∑ Experience with PCIe and memory-mapped I/O
∑ Experience with Virtualization, Hypervisors, and SR-IOV
∑ Experience with network stack and network designs
∑ Experience with cluster communication systems: MPI, OFED, Libfabric, and RDMA
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