
Chief AI Optimization Specialist
14 hours ago
High-Performance AI Compiler Engineer
Overview:We are seeking an exceptional engineer to join our team working on the cutting-edge field of on-device AI inference acceleration.
Responsibilities:- Design and optimize the AI compiler stack and tools for efficient execution of state-of-the-art open-source and proprietary AI models on NPUs for on-device AI inference use-cases.
- Transform high-level AI models into efficient, low-level code that can run on NPU, directly impacting performance, efficiency, and scalability of AI solutions.
- Implement performance optimization opportunities through operator fusion at different memory hierarchy levels and design algorithms to optimally map given AI operations to the NPU.
- Develop highly optimized C++/intrinsic based kernels for AI-related operators and leverage SIMD and VLIW for optimal performance.
- Perform thorough testing and validation of model layers, identifying and alleviating performance/accuracy bottlenecks.
- Efficiently communicate technical work and document design specs, adhering to good coding practices and collaborating with cross-functional teams.
- Exceptional C/C++ and Python coding skills.
- Strong understanding of SIMD, VLIW processor architecture, and vectorized programming (SIMD).
- Thorough knowledge of fixed and floating-point arithmetic, various operators in state-of-the-art AI models, and low-level hardware details.
- Excellent problem-solving skills, especially on debug, with a passion for on-device AI.
- Prior experience in AI compiler design is highly preferred.
Join a team dedicated to innovation and excellence. Collaborate with top engineers to push the boundaries of AI technology.
About Us:A company committed to advancing the field of AI and providing innovative solutions for real-world problems.
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