AI Software Team Leader - SIMD Vectorization

Job Details:

Job Description: 

Habana is looking to hire an experienced AI Software Team Leader - SIMD Vectorization Kernels for Neural Network Operations to join a world class compiler engineering team working on defining Habana’s world class AI processors. 
​
What will you do:

• Lead the development of a TPC kernels team for Intel’s AI accelerators
• Oversee the optimization of deep learning operations
• Conduct performance analysis and tuning to maximize kernel efficiency
• Collaborate with software, architecture, and hardware teams to align development efforts
• Mentor and support team members, fostering a collaborative and innovative work environment
• The job is located in Tel-Aviv\Caesarea

Qualifications:

• BSc in Computer Science, Electrical Engineering, or equivalent
• 5+ years of experience in C/C++ programming
• Proven leadership experience in a technical role
• Familiarity with SIMD and VLIW architectures
• Experience with performance profiling and optimization techniques
• Experience in DSP programming – Advantage
• Familiarity with Cuda/OpenCL/Sycl  – Advantage
• Familiar with the internals of common neural networks frameworks – Advantage
• Experience in Multithreaded environments – Advantage
• Excellent communication and teamwork skills

          

Job Type:

Experienced Hire

Shift:

Shift 1 (Israel)

Primary Location: 

Israel, Petah-Tikva

Additional Locations:

Israel, Haifa

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.