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2 days ago
We are seeking a highly skilled AI developer to join our team. The ideal candidate will have expertise in developing high-performance simulation models and optimization strategies for NPU HW architecture.
Responsibilities:
- Develop performance analysis models to identify hardware bottlenecks and propose architectural improvements.
- Build functional and execution models to accurately simulate chip behaviours and results.
- Collaborate with hardware development and testing teams to define modelling strategies and ensure designs meet specifications.
- Work with the compiler/model compilation team to provide optimization feedback and ensure accurate simulation results.
- Develop custom CUDA operators in PyTorch that maintain data consistency between model and hardware, for customer-facing applications.
Qualification/Requirements:
Education: A master's or PhD degree in Computer Science, Electrical/Computer Engineering, or related fields.
Experience: 0–5 years of experience. Fresh graduates are welcome. Internship, academic research, or hands-on project experience in chip modeling, performance simulation, or AI computing will be a strong advantage.
Programming Skills: Proficiency in Python, CUDA, and deep learning frameworks such as PyTorch. Experience with C++ or hardware modelling tools is a plus.
Problem-Solving: Strong interest in system architecture and performance analysis. Able to identify and resolve modelling discrepancies.
Teamwork: Effective communicator and team player, capable of working across multidisciplinary teams.
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