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Job ID: JR0122813
Job Category: Engineering
Primary Location: Bangalore, KA IN
Other Locations:
Job Type: Experienced Hire

Deep Learning R&D Engineer

Job Description
- Responsible for analyzing and optimizing deep learning (DL) and machine learning (ML) models, algorithms and applications on current and next generation Intel hardware and instruction sets.
- Design, develop and optimize ML kernels and Algorithms for Deep Learning accelerators.
- Profile distributed DL models to identify performance bottlenecks and propose solutions across individual component teams.
- Interact with global implementation team and deep learning researchers in defining cutting edge solutions


Qualifications

- Mtech/MS in CS, ECE or related fields
- Hands-on experience with developing high performance, multi-threaded and distributed software on multi-core CPUs, compute clusters, GPUs and heterogeneous clusters is preferred.
- Solid expertise in Distributed Algorithms and High Performance Computing algorithms
- Experience in optimizing software systems for CPU/GPUs.
- Strong statistics, applied math skills for real world HPC and Deep learning problems
- Experience in any Machine learning/ Deep Learning Benchmarking process/tools is a plus.
- Experience in Distributed Deep Learning is a big plus
- Strong coding skills in C++ and Python is a MUST
- Experience with compiler design and graph based optimizations is a plus
- Good communication skills
- Ability to work in a dynamic, cross-geo, startup-like environment

Inside this Business Group

Intel AI, leveraging Intel's world leading position in silicon innovation and proven history in creating the compute standards that power our world, is transforming Artificial Intelligence (AI) with the Intel AI products portfolio. Harnessing silicon designed specifically for AI, end to end solutions that broadly span from the data center to the edge, and tools that enable customers to quickly deploy and scale up, Intel AI is inside AI and leading the next evolution of compute.

INExperienced HireJR0122813
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