Apples Metal Pro Apps Ecosystem team in GPU Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS macOS and Apple TVnnApples GPU Graphics and Displays org provides the graphics software foundation across all of Apples innovative products including Mac iPad iPhone and Apple TV. Our responsibilities encompass the frameworks developer tools and device drivers for the GPU and Display on Apples hardware. MPSGraph provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple to improve the ML inference potential and performance applications on for iOS macOS and Apple TV.
GGMLs Metal Pro Apps and ML Ecosystem team is now seeking a world-class driven and dedicated engineer to work alongside developers to integrate and optimize ML workloads for Apples ANE and GPU silicon into their macOS and iOS applications. Are you ready to engage with developers to advance their success using Apples tools and technologies related to ML Responsibilities: Analyze developers products and report on their use of the ML API recommending optimizations algorithms and techniques to improve their applications. Contribute platform enablement and optimisations to key open source projects. Host developers during in-person engineering sessions. You will be a key source for all aspects of ML application development including engineering documentation training and relationship management.
Support adoption of GPU-accelerated training by 3rd party Apps and key in-depth analysis of an applications full stack to drive the best possible performance across hardware Apple to these 3rd party clients and open source communities managing the relationships and driving the engineering work
GPU compute framework development maintenance and programming and problem-solving understanding of machine learning written and oral communication skills.
GPU compute programming models u0026 optimization learning development using one or more ML frameworks (PyTorch TensorFlow. or JAX).nExperience with system level programming and computer architecture.
Required Experience:
IC
Apples Metal Pro Apps Ecosystem team in GPU Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS macOS and Apple TVnnApples GPU Graphics and Displays org provides the graphics software foundation across all of Appl...
Apples Metal Pro Apps Ecosystem team in GPU Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS macOS and Apple TVnnApples GPU Graphics and Displays org provides the graphics software foundation across all of Apples innovative products including Mac iPad iPhone and Apple TV. Our responsibilities encompass the frameworks developer tools and device drivers for the GPU and Display on Apples hardware. MPSGraph provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple to improve the ML inference potential and performance applications on for iOS macOS and Apple TV.
GGMLs Metal Pro Apps and ML Ecosystem team is now seeking a world-class driven and dedicated engineer to work alongside developers to integrate and optimize ML workloads for Apples ANE and GPU silicon into their macOS and iOS applications. Are you ready to engage with developers to advance their success using Apples tools and technologies related to ML Responsibilities: Analyze developers products and report on their use of the ML API recommending optimizations algorithms and techniques to improve their applications. Contribute platform enablement and optimisations to key open source projects. Host developers during in-person engineering sessions. You will be a key source for all aspects of ML application development including engineering documentation training and relationship management.
Support adoption of GPU-accelerated training by 3rd party Apps and key in-depth analysis of an applications full stack to drive the best possible performance across hardware Apple to these 3rd party clients and open source communities managing the relationships and driving the engineering work
GPU compute framework development maintenance and programming and problem-solving understanding of machine learning written and oral communication skills.
GPU compute programming models u0026 optimization learning development using one or more ML frameworks (PyTorch TensorFlow. or JAX).nExperience with system level programming and computer architecture.
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar
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