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AI Software Solutions Engineer (AI Frameworks, Ops)

Bangalur, State of Karnataka, Indie Identyfikator oferty JR0261084 Kategoria Software Engineering Tryb pracy Hybrydowy Poziom doświadczenia Doświadczony Wymiar etatu Praca na pełny etat

Job Description

We are looking for dynamic and passionate engineers whose day-to-day work involves working on ML Frameworks such as PyTorch, Tensorflow, Jax etc.

The job role involves design and developing features in AI frameworks software stack.
You will be participated in enabling and optimizing state of the art deep learning models with a specific focus on the PyTorch framework.
In this role, you will work with a cross-geo team for delivering optimized software stack for Intel Gaudi ( Deep Learning accelerators.

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-aware.
Contribute to enhancing and extending the Training and Inference capabilities in the Software stack.
Profile 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.
Must have: Proficient in Advanced C++ (C++ 14/17) and Intermediate skills of Python and parallel programming.
Exposure to Machine Learning (ML) frameworks such as PyTorch and Tensorflow.
Working knowledge of operators in Pytorch or Tensorflow and Understanding of low-level math kernels.
Ability to debug complex issues in multi layered SW systems. Understanding of SW integration in large open-source framework and internal bridge layers.

Understanding of computer architecture and HW-SW optimization techniques
Practical knowledge of DL topologies for Vision / NLP / LLM will be a plus
Experience working on frameworks/platforms that have gone to production.
Knowledge of compiler algorithms for heterogeneous systems
Effective communication skills and experience with working in a cross-geo setup.

Inside this 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.


We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel’s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at and not fall prey to unscrupulous elements.

Working Model

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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