Position: Kernel Developer
Location: Bengaluru, Karnataka, India
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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.
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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