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Tenstorrent - Santa Clara, CA
posted about 2 months ago
Full-time
Hybrid - Santa Clara, CA
Merchant Wholesalers, Durable Goods
About the position
As an Acceleration Kernel Developer at Tenstorrent, you will play a crucial role in optimizing low-level workloads, kernel development, and enhancing software performance for machine learning applications. This position involves collaborating with a team of skilled engineers to ensure peak efficiency and high-quality results for clients and users.
Responsibilities
- Participate in the design, development, and maintenance of kernel-level software components for applications.
- Develop and optimize kernels and kernel libraries for efficient machine learning and HPC applications.
- Implement tensor compute and tensor data movement optimization kernels with a heavy focus on optimizations.
- Analyze and optimize low-level code to improve performance and efficiency, emphasizing tensor optimization.
- 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.
- Write comprehensive unit tests, conduct thorough debugging, and ensure the stability and reliability of kernel-level code.
- Create clear and concise documentation for code, APIs, and best practices to facilitate collaboration within the team.
- Stay up-to-date with the latest developments in kernel development, tensor optimization, and machine learning to propose innovative solutions and improvements.
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.
- Familiarity with machine learning frameworks and concepts.
- Strong problem-solving skills and the ability to analyze and debug complex issues.
- Experience with performance profiling and optimization tools.
- Excellent communication and teamwork skills.
- Self-motivated, detail-oriented, and able to work independently as well as in a team.
Nice-to-haves
- Experience with GPU programming (CUDA, OpenCL) is a plus.
- Knowledge of operating system internals is a plus.
