Job Location: San Jose, CA
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Cadence IP Group
The Tensilica Processor CPU Core is used in complex high performance SoC’s, and is one of the best kept secrets within the semi IP world powering AR/VR, HiFi Audio and Speech, Vision, Imaging and hundreds of intelligent IoT applications. The Tensilica processor is the next generation embedded core that will meet the edge computing demands of ML and AI applications. Come be part of the next explosion of embedded devices building a key part of our processor generating platform for CPU’s and DSP’s.
Your responsibilities will include:
- Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs) created in frameworks such as Caffe, PyTorch, TensorFlow, etc. and converts them into code suitable for execution on special-purpose and embedded platforms
- Developing optimized implementations of a variety of neural-network operations and integrating them into a runtime framework
- Developing new optimization techniques and algorithms to efficiently map CNNs onto a wide range of Tensilica Xtensa processors and specialized HW
- Benchmarking end-to-end network performance on a variety of DSP and special-purpose accelerator platforms
- Enhancing the framework to improve overall functionality and performance on the various hardware platforms
- Devising multiprocessor/multicore partitioning and scheduling strategies
- Developing complex programs to validate the functionality and performance of the CNN application programming kit
- Working with hardware designers to identify opportunities for additional hardware acceleration of neural network functions
- Working with industry-leading partners and customers to design and standardize neural network APIs
Required and desired qualifications:
- A high level of C and C++ programming expertise with 3-5+ years of experience is required; Python experience highly desired
- Expertise in software development on Linux and Windows systems including, test, debug and release is required
- 3-5+ years of experience working on a production compiler is highly desired
- Prior work with CNNs and familiarity with deep learning frameworks (TensorFlow, Caffe/2, etc.) is a strong plus
- Knowledge of and experience with a state-of-the-art compiler stack such as LLVM and MLIR is highly desired
- Experience programming and optimizing for embedded platforms such as DSPs with DMA engines highly desired
- Experience implementing compilation techniques such loop optimization, polyhedral models, and IR construction/transition/lowering techniques is desired
- Familiarity with the state-of-the-art deep learning compilation approaches (Glow, TVM, XLA, etc.) is a plus
- Familiarity with various deep learning networks and their applications (Classification/Segmentation/Object Detection/RNNs) is a plus
- Knowledge of neural net exchange formats (ONNX, NNEF) is a plus
- Familiarity with Android system programming and the Android Neural Network API (NNAPI) is a plus
We’re doing work that matters. Help us solve what others can’t.
Submit CV To All Data Science Job Consultants Across United States For Free
🔍 Explore All Related ITSM Jobs Below! 🚀
✅ Select your preferred "Job Category" in the Job Category Filter 🎯
🔎 Hit "Search" to find matching jobs 🔥
➕ Click the "+" icon that appears just before the company name to see the Job Detail & Apply Link 📝💼