Scaleout Intern

Job Description

Tenstorrent, a company leading in AI technology, is seeking a Scaleout Intern to join their team. This role involves optimizing low-level workloads, developing kernels, and enhancing software performance for machine learning applications. The intern will collaborate with skilled engineers to ensure software operates efficiently and delivers high-quality results.Responsibilities include:

• Participating in the design, development, and maintenance of kernel-level software components.
• Developing and optimizing kernels and kernel libraries for efficient machine learning and HPC applications.
• Implementing tensor compute and tensor data movement optimizations kernels.
• Analyzing and optimizing low-level code to improve software performance, with a focus on tensor optimization.
• Collaborating with machine learning engineers to integrate optimized kernels into machine learning frameworks.
• Identifying performance bottlenecks and developing strategies to resolve them.
• Writing unit tests and ensuring the stability of kernel-level code.
• Creating documentation for code and APIs.
• Staying updated with the latest developments in kernel development and machine learning.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Experience in kernel development, with a 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.
• Experience with performance profiling and optimization tools.
• Excellent communication and teamwork skills.

Tenstorrent offers:

• Competitive compensation.
• Opportunity to work on cutting-edge AI technology.