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Lead Software Engineer: AI Compiler Developer
2 meses atrás
Cadence Design Systems is seeking a highly skilled Lead Software Engineer: AI Compiler Developer to join our team in Belo Horizonte, Brazil. As a key member of our IP/SSD Team, you will work on developing a deep learning compiler stack that takes neural network descriptions and converts them into optimized code for execution on special-purpose and embedded platforms.
Key Responsibilities- Develop a deep learning compiler stack that takes neural network descriptions and converts them into optimized code for execution on special-purpose and embedded platforms.
- Use modern compiler frameworks such as LLVM and MLIR to develop optimized implementations of neural-network operations and integrate them into a runtime framework.
- Develop new optimization techniques and algorithms to efficiently map CNNs onto a wide range of Xtensa processors and specialized hardware.
- Benchmark end-to-end network performance on various DSP and special-purpose accelerator platforms.
- Enhance the framework to improve overall functionality and performance on various hardware platforms.
- Devising multiprocessor/multicore partitioning and scheduling strategies to optimize system performance.
- Develop complex programs to validate the functionality and performance of the CNN application programming kit.
- Collaborate with hardware designers to identify opportunities for additional hardware acceleration of neural network functions.
- Work with industry-leading partners and customers to design and standardize neural network APIs.
- Complete Bachelor's degree in Computer Science or Computer Engineering or equivalent experience.
- High level of C and C++ programming expertise with 3-5+ years of experience required.
- Expertise in software development on Linux and Windows systems including test, debug, and release.
- Knowledge of and experience with a state-of-the-art compiler stack such as LLVM and MLIR.
- Experience implementing compilation techniques such as loop optimization, polyhedral models, and IR construction/transition/lowering techniques.
- Master's or PhD degree in Computer Science or related field.
- 3+ years of experience working on a production compiler highly desired.
- Python experience highly desired.
- Prior work with CNNs and familiarity with deep learning frameworks (TensorFlow, Caffe/2, etc.) is a strong plus.
- Experience programming and optimizing for embedded platforms such as DSPs with DMA engines highly desired.
- Familiarity with 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.
- Employment category: CLT.
- Employment term: 40 hours/week.
- Hybrid work.
- Competitive benefits.
