Job ID: JR0202211

Job Category: Software Engineering

Primary Location: Timisoara, RO

Other Locations: Romania, Brasov;Romania, Bucharest;Romania, Cluj-Napoca;Romania, Galati

Job Type: Experienced Hire

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.

Other Locations

Romania, Brasov;Romania, Bucharest;Romania, Cluj-Napoca;Romania, Galati