AI Software Solutions Architect

3 weeks ago


Bengaluru, Karnataka, India Intel Full time

Job Overview

We are seeking an exceptional software engineer to lead the design, development, and optimization of AI frameworks for training and inference on Intel Habana deep learning accelerators. This role will involve collaborating with a cross-geo team to enable and optimize state-of-the-art deep learning models, focusing on the PyTorch framework. Key responsibilities include designing and developing software techniques for AI frameworks, both HW-agnostic and HW-aware, as well as contributing to enhancing and extending the Training and Inference capabilities in the Software stack. Additionally, you will profile deep learning inference and training workloads, identifying optimization opportunities in the software stack.

About Us

The Data Center & Artificial Intelligence Group (DCAI) at Intel drives the company's transformation from a PC-centric organization to a leader in cloud computing, artificial intelligence, 5G, and high-performance computing. We deliver innovative products and technologies that fuel data centers worldwide, spanning software, processors, storage, I/O, and networking solutions.

Salary and Benefits

We offer a competitive salary range of $180,000 - $220,000 per annum, depending on experience, along with a comprehensive benefits package, including stock options, bonuses, health insurance, retirement plans, and paid time off. Find out more about our amazing benefits

Required Skills and Qualifications

This role requires a BTech, MS or PhD in CS or related fields, with 10-15 years of overall experience. Essential skills include advanced C++, Python programming, parallel programming, and previous exposure to ML frameworks like PyTorch and Tensorflow. You should have a detailed understanding of machine learning systems optimization and deployment techniques, such as quantization, as well as knowledge of transformers, KV cache, prefill buffer optimization techniques for inference. Additionally, you should be familiar with operators in PyTorch or Tensorflow, low-level kernels, and SW integration across open-source frameworks and internal bridge layers.

Working Model

This role will be eligible for our hybrid work model, allowing 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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