Kernel Developer | Tenstorrent Inc. | Bengaluru, Karnataka, India

Software Testing Jobs In India

Position: Kernel Developer

Location: Bengaluru, Karnataka, India

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Job Description

Qualification and Skills

  • 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.
  • Experience with GPU programming (CUDA, OpenCL) is a plus.
  • Knowledge of operating system internals is a plus.
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Responsibilities

  • Kernel Development: Lead and participate in the design, development, and maintenance of kernel-level software components for our applications. develop and optimize kernels and kernel libraries for efficient machine learning and HPC applications.
  • Implementation of tensor compute and tensor data movement optimizations kernels
  • Heavy focus on optimizations.
  • Low-Level Optimization: Analyze and optimize low-level code to improve the performance and efficiency of our software, with a strong emphasis on tensor optimization.
  • Machine Learning Integration: Collaborate with machine learning engineers and data scientists to integrate optimized kernels and low-level routines into machine learning frameworks and pipelines.
  • Performance Profiling: Identify performance bottlenecks, conduct performance profiling, and develop strategies to address and resolve them.
  • Testing and Debugging: Write comprehensive unit tests, conduct thorough debugging, and ensure the stability and reliability of kernel-level code.
  • Documentation: Create clear and concise documentation for code, APIs, and best practices to facilitate collaboration within the team.
  • Research and Innovation: Stay up-to-date with the latest developments in kernel development, tensor optimization, and machine learning to propose innovative solutions and improvements.

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