Research Summer Intern

THIS IS AN INTERNSHIP POSITION AND ALL APPLICANTS MUST BE REGISTERED FULL TIME STUDENTS TO APPLY

IBM’s Brain-Inspired Computing team at IBM Research – Almaden has built a first-of-a-kind modular, scalable, non-von Neumann, ultra-low power, cognitive computing architecture (TrueNorth) and associated end-to-end software ecosystem. We are building state-of-the-art digital spiking neuromorphic chips and systems (large-scale and mobile) to solve real-time sensory problems.

We seek team members with varied backgrounds and experiences for positions in software engineering, systems design, chip design, algorithm/application development, theoretical understanding and education/training. Ideal candidates will have expertise in several of the following areas:

Neuromorphic Algorithms and Applications:
Neural Networks, Deep Learning, Convolutional Networks, Machine Learning, Pattern Recognition, Statistical Learning, or Probabilistic Graphical Models

Mapping neural networks to custom hardware

Experience developing, testing, and deploying systems for image processing, speech, robotics, medical imaging, or other real-world applications

Information theoretical system models, high dimensional non-linear dynamical systems, complex adaptive systems Education / Training:

User interface or interaction design, testing, and deployment

Web centric agile software development methodology

Experience installing and using Open edX for course content creation and delivery

Experience in developing / facilitating MOOC-style delivery

Neuromorphic hardware design:
VLSI design including logic design (synchronous and/or asynchronous), physical design, integration, verification, and validation

Printed Circuit Board (PCB) design/debug, Field Programmable Gate Array (FPGA) development/debug

Large-scale system design

Spiking sensors

Software/Firmware:
Experience with TensorFlow / Caffe / MatConvNet / Torch / DIGITS

Parallel programming using tools such as Message Passing Interface (MPI), Compute Unified Device Architecture (CUDA), OpenMP, MATLAB Parallel Toolbox

Expert level programming skills in C++, Python and MATLAB

Real-time embedded software/firmware development, Linux kernel/device drivers, system level simulation and optimization

Software maintenance and source control (Subversion, Git, ClearCase), bug tracking (Jira, Bugzilla), and collaboration (Confluence, MoinMoin)

Graduate students should apply to requisition number 73729BR

At least 1 year experience in MATLAB or Python and C++

At least 1 course in machine learning

Basic knowledge in large scale neural networks

At least 2 years experience in machine learning

At least 2 years experience in large scale neural network