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Intel
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AI Software Architect

AI Software Architect

Intel

6 - 10 years

25 - 30 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

c++ algorithms ai frameworks ai software integration deep learning computer architecture optimization techniques pytorch programming performance analysis architecture communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a dynamic and passionate hands-on senior contributor to join Intel's AI Group.
Day-to-day work involves contributing to open-source AI frameworks such as PyTorch and inference-serving frameworks like vLLM and SGLang. The role includes designing, developing, and optimizing features for Intel's AI framework software stack for Intel's AI accelerators and next-generation GPUs.

Roles and Responsibilities include:

Design and develop software features for AI frameworksboth hardware-agnostic and hardware-aware.
Enhance and extend deep learning inference and training capabilities in the software stack.
Analyze and architect state-of-the-art features across different frameworks and drive development across the full software stack.
Identify optimization opportunities in the software stack to improve the performance of deep learning workloads.
Participate in discussions with the open-source community, contribute to development, and upstream software enhancements.

Qualifications:

B.Tech or M.S./M.Tech in CS, ECE, or related fields with 612 years of overall experience.
Proficient in Python-based complex software implementations; intermediate knowledge of advanced C++ (C++14/17) and parallel programming.
In-depth, hands-on experience with frameworks such as PyTorch, vLLM, and SGLang.
Experience with advanced inference-serving features such as disaggregated serving, quantization, speculative decoding, and constrained decoding.
Strong understanding of LLMs
Practical knowledge of deep learning models for image and video generation is desirable.
Ability to debug complex issues in multi-layered software systems; understanding of software integration in large open-source frameworks.
Strong understanding of computer architecture and HW-SW optimization techniques.
Effective communication skills and experience working in cross-geo teams.
Ability to perform performance analysis of code on both host and accelerators/GPUs using open-source and proprietary profilers.
Understanding of the competitive landscape for technologies in this domain.

Preferred

Experience developing and integrating CUTLASS or Triton-based kernels for deep learning.
Knowledge of compiler algorithms for heterogeneous systems and fuser optimizations.

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AI Software Architect