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.
- 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.
