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Chicago, IL 60664
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 neuromorphic chips and systems (large-scale and mobile) to solve real-time sensory problems.
Your Role and Responsibilities
We seek team members with proven hardware backgrounds who know a bit about machine learning. 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 neuromorphic system design
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
+ Experience with TensorFlow / Caffe / PyTorch / DIGITS
+ Parallel programming using tools such as Message Passing Interface (MPI), Compute Unified Device Architecture (CUDA), OpenMP
+ Expert level programming skills in C++, Python
+ 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)
Required Technical and Professional Expertise
+ At least 1 year experience with VHDL or Verilog
+ At least 1 year experience in Python and C++ At least 1 course in machine learning
+ Basic knowledge in large scale neural networks
Preferred Technical and Professional Expertise
+ At least 2 year experience with VHDL or Verilog and expert knowledge of modern hardware development tools
+ At least 2 years experience in machine learning
+ At least 2 years experience in large scale neural networks
About Business Unit
With more than 3,000 researchers in 12 labs located across six continents, IBM Research brings together hundreds of researchers who possess unparalleled industry expertise to address some of the world’s most challenging problems. Join us as we do pioneering work in areas such as cognitive computing, augmented intelligence, quantum computing, and blockchain, to name a few.
Your Life @ IBM
Join us as we do pioneering work in areas such as cognitive computing, augmented intelligence, quantum computing, and blockchain, to name a few.
The IBM Research Division conducts scientific research and develops technologies and processes for use with IBM products and customer applications. IBM Research has produced leading contributions to the technology underlying IBM’s product portfolio, as well as to the world of science and the entire IT industry. For more information please visit www.research.ibm.com.
The World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.
For additional information about location requirements, please discuss with the recruiter following submission of your application.
Being You @ IBM
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.