AI Software Architect

Posted 8 Hours Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Cloud • Information Technology • Software
Creating world-changing technology that enriches the lives of every person on earth.
The Role
Designs, develops, and optimizes AI framework software for deep learning training and inference on Intel GPUs and AI accelerators. Responsibilities include architecting framework features, improving workload performance across software and hardware layers, debugging complex systems, contributing to open-source projects, conducting profiling and performance analysis, and building proofs of concept. The role focuses on PyTorch, vLLM, SGLang, LLMs, hardware-software optimization, and advanced AI kernel and compiler technologies.
Summary Generated by Built In
Job Details:

Job Description: 

The Role and Impact
We are seeking a dynamic AI Software Architect to contribute to Intel's cutting-edge AI frameworks software stack. In this role, you will design, develop, and optimize software features for AI frameworks, focusing on inference serving frameworks like PyTorch vLLM and SGLang. You will play a key role in enhancing deep learning inference and training/fine-tuning capabilities, while identifying optimization opportunities to boost workload performance across software and hardware layers.
Business Group
The position is part of Intel's Data Center Group (DCG), a global leader in driving innovation across data center platforms. The AI Software Architects team focuses on advancing AI software solutions to enable Intel's AI accelerators and next-generation GPUs, supporting Intel's mission to shape the future of technology for data-driven industries.
Key Responsibilities
- Design and develop software features for AI frameworks, including hardware-agnostic and hardware-aware capabilities.
- Architect and analyze state-of-the-art features across frameworks to drive development throughout the software stack.
- Enhance and extend deep learning training and inference capabilities within Intel's AI frameworks software stack.
- Optimize software stack performance for deep learning workloads on GPUs and AI accelerators.
- Participate in discussions and development within open-source communities, contributing to upstream adoption and integration.
- Debug complex issues in multi-layered software systems and ensure seamless integration within large open-source frameworks.
- Conduct performance analysis using open-source and proprietary profilers to optimize code efficiency on host and accelerator platforms.
- Build technology demonstrators and proof-of-concepts for new features in the Intel AI Software Stack for current and upcoming GPUs

Qualifications:

Minimum Qualifications
- Bachelor's degree in Computer Science, Electrical and Computer Engineering, or related fields with 6+ years of industry experience; or Master's degree with 4+ years; or PhD with 2+ years.
- Proficiency in Python for developing complex software implementations.
- Intermediate expertise in advanced C++ programming (C++14/17), including parallel programming.
- Hands-on experience with frameworks such as PyTorch, vLLM, and SGLang.
- In-depth knowledge of Large Language Models (LLMs).
- Strong understanding of computer architecture and hardware-software optimization techniques.
- Proven ability to debug complex issues across multi-layered software systems.
Preferred Qualifications
- Practical experience with deep learning models for image and video generation.
- Expertise in developing and integrating kernels (e.g., GEMM, Convolution, Flash Attention) using frameworks like CUTLASS or Triton.
- Knowledge of compiler algorithms for heterogeneous systems and Fuser optimizations.
- Effective communication skills and experience collaborating with cross-geo teams.
Join us to drive innovation in AI software solutions and shape the future of data-driven technologies with Intel's cutting-edge platforms.

          

Job Type:Experienced Hire

Shift:Shift 1 (India)

Primary Location: India, Bangalore

Additional Locations:

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.Position of TrustN/A

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. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Skills Required

  • Bachelor’s degree in Computer Science, Electrical and Computer Engineering, or a related field with 6+ years of industry experience
  • Master’s degree in Computer Science, Electrical and Computer Engineering, or a related field with 4+ years of industry experience
  • PhD in Computer Science, Electrical and Computer Engineering, or a related field with 2+ years of industry experience
  • Proficiency in Python for complex software implementations
  • Intermediate expertise in advanced C++ programming, including C++14/17 and parallel programming
  • Hands-on experience with PyTorch, vLLM, and SGLang
  • In-depth knowledge of large language models
  • Strong understanding of computer architecture and hardware-software optimization
  • Ability to debug complex issues across multi-layered software systems
  • Experience with deep learning models for image and video generation
  • Expertise developing and integrating GEMM, convolution, or Flash Attention kernels using CUTLASS or Triton
  • Knowledge of compiler algorithms for heterogeneous systems and fuser optimizations
  • Effective communication and experience collaborating with cross-geographical teams

Intel Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.

  • Leave & Time Off Breadth — Sabbaticals and paid time off are highlighted as signature elements, with an established program offering four weeks after four years or eight weeks after seven years. This distinctive time off is positioned as a meaningful part of the overall package.
  • Parental & Family Support — Paid bonding leave of 12 weeks and a New Parent Reintegration program, plus fertility benefits around $40,000 and up to $15,000 adoption reimbursement with no lifetime cap, are clearly stated. These programs are presented as standout components alongside broader family support resources.
  • Healthcare Strength — Multiple medical plan options with 2026 updates, a shift to Spring Health for EAP, and in‑network virtual medical visits covered at 100% beginning in 2026 indicate a comprehensive offering. These features signal an emphasis on robust medical access and mental health support.

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The Company
HQ: Santa Clara, CA
75,000 Employees
Year Founded: 1968

What We Do

Our mission is to shape the future of technology to help create a better future for the entire world, that’s the power of Intel Inside. With more ingenuity and creativity inside, our work is at the heart of countless innovations. From major breakthroughs to things that make everyday life better— they’re all powered by Intel technology. With a career at Intel, you can help make the future more wonderful for everyone.

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