Job Details:
Job Description:
Habana is looking to hire a C++ Software developer - 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:
- Develop of a TPC kernels team for Intel’s AI accelerators
- Optimize of deep learning operations
- Conduct performance analysis and tuning to maximize kernel efficiency
- Collaborate with software, architecture, and hardware teams to align development efforts.
Qualifications:
- 2+ years of experience in C/C++ programming
- Familiarity with SIMD and VLIW architectures
- Experience with performance profiling and optimization techniques
- 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, 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 TrustN/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.
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