AI SW system architect Full-time

Job Details:

Job Description:
The Architect will work on cutting edge technologies of AI acceleration, in one of the most evolving and innovative areas of efficient AI systems. The work will span from device level to large systems.

Qualifications:
At least 7-10 years of experience in SW architecture on top of a developer experience
The job includes Requirements and SW architecture definitions, analysis of performance targets and integration support.
Required knowledge of GPU and CPU architecture, good knowledge of AI stack SW architecture, HW/SW flows.
Required ability to have wide system understanding, and ability to work in multi-disciplinary env.
Required ability to have good understanding of HW/SW systems.
Advantage knowledge in Drivers.

Job Type:
Experienced Hire

Shift:
Shift 1 (Israel)

Primary Location:
Israel, Tel Aviv

Additional Locations:
Israel, Caesarea

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.

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.
Position of Trust
N/A

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. * Job posting details (such as work model, location or time type) are subject to change.