Machine Learning Library and Frameworks Engineer

Your responsibilities will include:

• Maintain, enhance, and optimize the Cadence implementation of the Android Neural Network API (NNAPI)
• Port and optimize the Android NNAPI implementation on a variety of target devices
• Develop programs to validate the functionality and performance of the library and framework
• Benchmark end-to-end performance on a variety of DSP and special-purpose accelerator platforms
• Work with industry-leading partners and customers to design and standardize acceleration APIs
• Work with hardware designers to identify opportunities for additional hardware acceleration of functions
• Assist the application engineering team to support customers of the product
• Help in authoring and reviewing product documentation

Required and desired qualifications:

• 3-5+ years of experience working on optimized library and/or SW tools development required
• 1-2+ years Android system programming required
• C and C++ programming expertise required
• Expertise in software development, test, debug, and release required
• Experience programming and optimizing for embedded platforms such as DSPs with DMA engines highly desirable
• Familiarity with the Android Neural Network API (NNAPI) desirable
• Familiarity TensorFlow and TensorFlow Lite desirable