Research Staff Member

Job Description

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

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, C++11 threads

User interface design, testing, and deployment

Expert level programming skills in C++11, MATLAB, Python

Experience with TensorFlow / Caffe / MatConvNet

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

Neuromorphic Algorithms and Applications:
Mapping neural networks to custom hardware

Neural Networks, Deep Learning, Convolutional Networks, Recurrent Networks, Machine Learning, Pattern Recognition, or Probabilistic Graphical Models

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:
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

Required Technical and Professional Expertise

At least 1 year experience in Python and C++

At least 1 year experience in machine learning

Basic knowledge in large scale neural networks

English: Intermediate

Preferred Tech and Prof Experience

At least 2 years experience in machine learning

At least 2 years experience in large scale neural networks

English : Fluent

EO Statement

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.