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Deep Learning Compiler Engineer
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Full-time
- Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems.
- Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C
- What We Value: Integrity, Humility, Happiness What We Expect: Initiative, Collaboration, Completion Role: As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture.
- 11 Experience using / developing in TVM Knowledge of front-end and back-end compiler techniques Expected Outcomes in 12 months: Develop a deep understanding of the hardware platform and low level software and leverage that for optimal performance of applications.
- Have a proven track record of implementing optimization passes for efficient lowering of deep learning and high performance computing algorithms on the Quadric EPU parallel processor.
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