Job Details:

Job Description: 

- Responsible for analyzing and optimizing deep learning (DL) and machine learning (ML) algorithms on current and next generation Intel hardware and instruction sets. - Design, develop and optimize math kernels and Algorithms for Deep Learning accelerators using various compiler infrastructure - Profile distributed algorithms to identify performance bottlenecks and propose solutions across individual component teams. - Interact with global implementation team and deep learning researchers in defining cutting edge solutions

Qualifications:

- Mtech/MS/Bachelor in CS, ECE or related fields with 4+ years of relevant experience - Experience in optimizing software systems for CPU's/GPUs. - Experience with Vector processing and graph based optimizations - Strong statistics, applied math skills for real world HPC and Deep learning problems - Experience in any Machine learning/ Deep Learning Benchmarking process/tools - Strong coding skills in C++,Python and low level intrinsics - Good communication skills - Ability to work in a dynamic, cross-geo, startup-like environment

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

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. In certain circumstances the work model may change to accommodate business needs.