Senior Deep Learning Software Engineer
Job Description
The VPU team designs and delivers industry leading low power AI inference IP and software for edge use cases including Client and IoT platforms. The Compiler team is developing an NN Compiler for deployment of Deep Learning models on Intel Movidius hardware accelerator. The job of the compiler is to take an already trained neural network model, optimize the graph and format the model to a command list or compiler assembly code that can be run by the hardware accelerator.
Role's responsibilities will include compiler design in addition to software development. The compiler features must be designed according to the hardware capabilities. The compiler is based on MLIR framework and utilizes its API and features (dialects, passes, etc.) to schedule and optimize the list of tasks which correspond to model inference.
Qualifications
BS/MS in Computer Science Computer Engineering or a similar field
At least 6 years of experience in programming
C/C++ embedded programming
Design of multithreading and multithreaded application
Proven experience in low level optimization and vectorization
Preferred Qualifications:
Proven experience in modern compiler architecture and code compilation process (e.g. llvm compiler, Java compiler)
Theoretical and applied skills in Machine Learning
Deep Learning frameworks (Tf, Caffe, PyTorch, etc) is a plus
Inside this Business Group
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.Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html
Maggie Offensive Security Researcher
“I’ve always wanted to do something that changes the world — at Intel, I feel appreciated, and I’ve gained more confidence in myself. It makes me feel like I’m capable of doing great things.”
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