המקום בו המומחים והחברות הטובות ביותר נפגשים
In this role you will perform analysis to characterize complex workloads and identify performance and power optimizations opportunities in VC++ and .NET software and have an opportunity to make recommendations to help define next gen architecture from a software standpoint.The ideal candidate will have the following behavioral traits:
Be a team player, contribute to an inclusive work environment and overall growth of the team through respect and knowledge sharing.
Effective verbal, written, and presentation skills to influence management and technical stakeholders across Intel and with external partners.
Eager to learn and passionate about world-changing technology that improves the life of every person on the planet.
Motivation to learn new technologies.
Good verbal, written and presentation skills to influence management and technical stakeholders across Intel and Intel partners.
You must possess the below minimum qualifications to be initially considered for this position. The following preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.Minimum qualifications:
-MS or PhD graduate at Computer Science or Computer Engineering (Electrical Engineering with Software background, BS with relevant experience will be considered too)
-4+ years of Industry experience
-4+ years of experience developing high quality code in C/C++, Python, C#/Java or similar programming language
-Candidate must have permanent unrestricted right to work in Costa Rica
-Intermediate to Advanced English levelPreferred Qualifications:
-Background in modern CPU, GPU architectures, runtimes, compiler code generation, multi-threading
-Software optimization, benchmarking, compiler, runtimes and AL/ML background
-Knowledge of Deep Learning Runtimes and frameworks like TensorFlow, PyTorch, ONNX Runtime
-Knowledge of parallel computing and experience with parallel computing libraries/frameworks like OpenCL, CUDA
-Experience with performance libraries like MKL
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