Research Scientist

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 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

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 Software/Firmware:

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

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

User interface design, testing, and deployment

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

Experience with TensorFlow / Caffe / MatConvNet /

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

Education / Training:
Demonstrated ability to conduct in-person and on-line training sessions, and to help develop and expand the training curriculum.

Experience in developing / facilitating MOOC-style delivery

At least 1 year experience in MATLAB and C++

At least 1 year experience in machine learning

Basic knowledge in large scale neural networks

English: Intermediate

At least 2 years experience in machine learning

At least 2 years experience in large scale neural networks

English : Fluent