AI Kernel Development Lead
4 weeks ago
As a key member of our team at Tenstorrent, you will be responsible for leading the development and optimization of low-level workloads and kernel development for our cutting-edge AI platform. With a strong focus on high-performance computing and machine learning, you will collaborate with a diverse team of technologists to create innovative solutions and improve the efficiency of our software.
Key Responsibilities
- Design, develop, and maintain kernel-level software components for our applications.
- Develop and optimize kernels and kernel libraries for efficient machine learning and HPC applications.
- Implement tensor compute and data movement optimizations, driving efforts to analyze and optimize low-level code for improved performance and efficiency.
- Collaborate with machine learning engineers and data scientists to integrate optimized kernels and low-level routines into machine learning frameworks and pipelines.
- Identify performance bottlenecks, conduct performance profiling, and develop strategies to address and resolve them.
- Oversee the creation of comprehensive unit tests, conduct thorough debugging, and ensure the stability and reliability of kernel-level code.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Proven experience in kernel development, with a strong focus on low-level optimizations and tensor optimization.
- Proficiency in C/C++ programming languages and familiarity with machine learning frameworks and concepts.
- Strong problem-solving skills, ability to analyze and debug complex issues, and experience with performance profiling and optimization tools.
- Excellent communication and leadership skills, with the ability to work independently and lead a team.
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