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Intel AI Software Tools Development Engineer 
India, Karnataka, Bengaluru 
517131445

24.06.2024

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school-work, classes, research and, or relevant previous job and, or internship experiences. Minimum Qualifications:� Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering with Software focus area or related technical discipline and 3+ years of work experience.� Relevant coursework/experience in computer architecture, software engineering, and operating systems� Sufficient competence in C++/C and embedded programming/debugging to start immediately as a developer� Experience with software development on both Windows and Linux platforms. Must Have� Be part of a team that is actively engaged with internal teams responsible for optimization of new GPU platforms, drivers and OneAPI SW stack prior to product launch� Experience with performance benchmarking, performance profiling, workload analysis and optimization of an AI/HPC GPU/NPU based applications � Excellent C++ programming skills and any one of the following C/Python/Bash/Scripting Languages� Knowledge of parallel programming technologies in one of following such as DPC++, MPI, OpenMP, OpenCL etc� Prior experience in deployment strategies , performance optimization, multi node, multi GPU scaling big plus� Enablement of new deep learning or AI models from various domains in Intel OpenVINO toolkit� Good to have experience in deploying/optimizing distributed training on CPU/GPU/NPU� Experience in low level software optimization, vectorization to maximize hardware utilization� Excellent debugging skills with gdb, windbg Good to have� Experience in Linux/Windows device driver development or embedded software development.� Working knowledge of GPU KMD/UMD stack of iGPU/dGPU� Strong production software engineering background, experience with CI, code reviews, unit and integration testing� Proficiency in working with UNIX/Linux environments and command-line tools� Self-motivated and adaptive to evolving requirements and able to contribute independently� Ability to work in cross-geo Agile team environment and excellent communication skillsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits