Who We Are? 
Our team at Intel Labs explores optimization techniques that lead the evolution of compute by offering efficient AI applications that broadly spans from the data center to the edge. We optimize deep learning topologies (neural networks) to the latest Intel hardware and work with architecture teams to design software and hardware accelerators for Intel future hardware. Our focus areas are Deep-Learning software and hardware technologies for state-of-the-art inference and training techniques.  

What will you do?

- Design, implement and optimize deep learning workloads.
- Working with leading architects on analysis of large-scale deep learning topologies and map the bottlenecks
- Implement software optimization methods to optimize neural networks for specific hardware product
- Publish papers in top tier deep learning conferences.
- Contribute to Intel's open-source deep learning projects

Qualifications

- BSc. or MSc. in Computer Science, Computer Engineering, or related field.
- Python proficiency, experience in one of the ML frameworks such as PyTorch, TensorFlow
- Track record of software creativity and innovation
- Understanding of system architecture, multi-threading and low-level performance and hardware design - advantage
- Good written and verbal communication skills for expressing technical ideas and initiatives.

Inside this Business Group

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

Other Locations

Israel, Haifa

Work Model for this Role

This role is available as fully home-based and generally would require you to attend Intel sites only occasionally based on business need.