Study new and different DL networks for future optimization requirements.
Design and develop hardware-agnostic and hardware-aware software features for AI frameworks, focusing on ML kernel development.
Enhance and extend deep learning training and inference capabilities within Intel's AI software stack.
Debug and resolve functional and convergence issues in multi-layered software systems.
Qualifications
Minimum Qualifications
Bachelors with 8+, Masters with 6+ years, or PhD with 3+ years, of relevant industry experience in Computer Science or Computer Engineering or Electrical Engineering related technical discipline.
Programming in Python/C++, strong in Data Structures/Algorithms, worked on large SW projects.
Knowledge of computer architecture and compiler fundamentals.
Strong written and verbal communication skills.
Expertise in performance optimization techniques for AI workloads on modern hardware architectures.
Preferred Qualifications
Familiarity with AI algorithms (e.g. LLMs) and DL and serving frameworks (e.g. PyTorch, JAX, vLLM, SGLang, HF).
Advanced understanding of machine learning concepts and deep learning practices.
Knowledge of Intel hardware architecture and features, including CPUs, GPUs, or AI accelerators.
Demonstrated ability to analyze, prototype, and solve complex technical challenges.
Strong communication skills to convey technical concepts to diverse audiences.
Experience with developing and integrating CUTLASS or Triton-based kernels in large language models (LLMs).
Knowledge of compiler algorithms for heterogeneous systems and fuser optimizations.
Effective communication skills and experience working in cross-geo teams.
Familiarity with generative AI models and LLMs.
Join us in shaping the future of AI and accelerating innovation. Be part of a team that pushes boundaries, solves complex challenges, and delivers impactful solutions.
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.
