Supports software development and engineering of new artificial intelligence, machine learning, and deep learning products and technologies for the enterprise through research, leading to new or improved software products.
Researches technological trends and advancements, recommending strategic product enhancements to ensure product relevancy and support revenue growth.
Collaborates with industry and academies, participates in industry standard definition, collaborates with product managers and technical groups to address important customer issues, and finds innovative solutions to difficult problems for midterm or longterm time frames. May research to define boundaries, create proof of concepts, or prototype new ideas.
Qualifications
Key Qualifications
Understanding of state-of-the-art deep learning theories, techniques, architectures, and optimization strategies
More than 6 months of experience in deep learning research and development
Excellent problem solving and algorithm design skills
Excellent communication skills
Experience working with one or more deep learning frameworks such as TensorFlow, PyTorch, and Caffe
Strong programming skills with C/C++ and Python
Experiences in programming and testing on Linux environment
Preferred Qualifications
Familiar with deep learning pipeline validation.
Experience optimizing deep networks for efficient training and/or inference
Education
BS or MS degree in Computer Science or related area, Applied Mathematics, and Statistics.
The Internet of Things Group (IOTG) consists of ~4700 dedicated employees across 25 locations across the world. IOTG drives significant growth in the Internet of Things (IoT) market, capitalizing on the inflection and creation of edge computing, leveraging smart, connected devices and artificial intelligence (AI) to enable partners to transform their businesses. IOTG's vision is to lead the industry and enterprises to enhance the way we live and work by making it easier to create exciting, new IoT/edge solutions. IOTG's strategy includes creating unique differentiated silicon to consolidate workloads at the Edge, investing in video and AI inference as the killer app for the Edge, creating new developer tools and ecosystems, and establishing a dedicated vertical consultative sales team to add value to our partners across many verticals.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.
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