About us:

Our team is paving the way for new and innovative business in areas that are of transformative strategic importance for the Data center and AI group, and specifically for the Data center of the future.

Our team is driving co-engineering with start-up companies, ecosystem players, key customers, and other partners within and outside of Intel to accelerate go-to-market.



About you:

The ideal candidate will have experience in end-to-end SW stack and development, performance analysis. Fast learning of using performance and profiler tools.



What you will be doing?

Optimization of Data analytics acceleration system

Using Intel profiling tools for workload analysis of data analytic systems

Collaborating with other engineers to understand and enable new technologies

Qualifications

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Qualifications:

Computer Science, Information Systems, or Electrical Engineering B.A/B.Sc. degree

Proven experience in software development and performance analysis

C, C++, Java, Python programming skills


Advantages:

Performance analysis background using tool like vTune/EMON

Data analytics SW optimization experience

SW development experience in data center environment

System level experience, HW/SW co-optimization

 

Inside this Business Group

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Other Locations

Israel, Haifa

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.