מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Responsibilities:**
Development of end-2-end embedded AI SW stack to run neural network models on Qualcomm leading edge hardware with optimal resource usage
Design and enhance the implementation of ML/AI compilers, kernels, and runtime software to improve performance and power efficiency
Collaborating with AI Processor Hardware team and high quality implementation of new ML operators/layers to optimal utilizing new capabilities in next-gen AI processor
Development of debugging/profiling tools and user-friendly SDK for customers to rapid deployment of their new use cases
Challenging the status quo and driving innovations to be the best-of-class
Preferred Skills and Experience:
Excellent programming capability with low level C/C++ Strong software design, development, and debugging skills
Optimized Linux, Android, or embedded software development experience
Optimization of algebraic operations in algorithms for HW cores
Experience on compiler design and development is a big plus
Knowledge on deep learning and popular frameworks is an asset
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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