AI Software Solutions Engineer (AI Frameworks, Workloads)

Bengaluru, Karnataka, India Job ID JR0267975 Job Category Software Engineering Work Mode Hybrid Experience Level Experienced Full/Part Time Full Time

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Job Description

We are looking for a senior contributor to design, develop and optimize AI frameworks for Inference. In this role, you will work with a cross-geo teams to enhance the inference stack to ensure competitive performance on deep learning inference 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-aware
Contribute to enhancing and extending the Inference and Training capabilities in our Software stack
Profile deep learning inference workloads as needed and identify optimization opportunities

Qualifications

BTech, MS or PhD in CS or related fields with an overall experience of 10 to 15 years
Atleast 2 or 3 years of experience working on Inference frameworks/tools for inference for deep learning models and that have been deployed/used by customers
Architecture/Design contributions to Inference systems
Detailed understanding of machine learning systems optimization and deployment techniques such as quantization
Experience with optimization techniques for deployment of Large Language Models (LLMs)
Deep implementation knowledge of transformers and inference specific optimizations
Programming skills in Advanced C++, Python and parallel programming skills
Ability to debug complex issues in multi-layered SW systems
Understanding of SW integration across open source frameworks and internal framework layers
Strong understanding of computer architecture
Effective communication skills and experience with working in a cross-geo setup

Preferred

Experience working on and contributing to Inference serving solutions
Knowledge of compiler algorithms for heterogeneous systems
Knowledge of open source compiler infrastructure like LLVM or gcc
Understanding of low-level kernels

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.

Benefits

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 https://jobs.intel.com/ 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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