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 performance may include the following:Design and develop SW techniques for AI frameworks – both HW-agnostic and HW-awareContribute to enhancing and extending the Training and Inference capabilities in the Software stackProfile deep learning inference and training workloads and identify optimization opportunities in the software stack.
BTech, MS or PhD in CS or related fields with an overall experience of 5 to 12 years
Programming skills in Advanced C++, Python and parallel programming skills
Previous exposure to Machine Learning (ML) frameworks such as PyTorch and Tensorflow.
Working knowledge of operators in Pytorch or Tensorflow and Understanding of low level kernels.
Ability to debug complex issues in multi layered SW systems. Understanding of SW integration across open source framework and internal bridge layers.
Understanding of computer architecture and HW-SW optimization techniques
Practical knowledge of DL topologies for different use cases
Knowledge of compiler algorithms for heterogeneous systems
Experience working on frameworks/platforms that have gone to production
Effective communication skills and experience with working in a cross-geo setup
Preferred knowledge of open source compiler infrastructure like LLVM or gcc
Shift 1 (India)
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.
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
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.
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