Job Details:

Job Description: 

We are looking for a dynamic software engineer to design, develop and optimize AI frameworks for training and inference on Intel Habana (https://habana.ai/) deep learning accelerators. In this role, you will work with a cross-geo team on enabling and optimizing state of the art deep learning models with a specific focus on the PyTorch framework. The roles and responsibilities that you would need to carry out may include the following:

� Profile and enable deep learning inference and training workloads on Habana DL accelerators. Debug /fix functional and convergence issues, identify performance optimization opportunities and drive implementation of these optimizations.
� Design and develop SW techniques for AI frameworks - both HW-agnostic and HW-aware.
� Contribute to enhancing and extending the Training and Inference capabilities of DL accelerator Software stack.

Qualifications:

          

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.