AI Kernel Optimization Lead
7 days ago
Tenstorrent is revolutionizing the AI technology landscape with cutting-edge innovations, setting new standards for performance, ease of use, and cost efficiency.
In this pivotal role, you will lead a team of skilled engineers to optimize low-level workloads, kernel development, and enhance software performance for machine learning applications. Your expertise in kernel development and tensor optimization will drive efforts in analyzing and optimizing low-level code to improve efficiency.
Key Responsibilities:
- Kernel Development Leadership: Design, develop, and maintain kernel-level software components for our applications.
- Tensor Compute and Data Movement Optimizations: Implement and optimize tensor compute and tensor data movement kernels.
- Performance Profiling and Strategy Development: Identify performance bottlenecks, conduct profiling, and develop strategies to address them.
- Machine Learning Integration: Collaborate with machine learning engineers and data scientists to integrate optimized kernels into machine learning frameworks and pipelines.
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, or related field.
- Proven experience in kernel development, low-level optimizations, and tensor optimization.
- Proficiency in C/C++ programming languages.
- Familiarity with machine learning frameworks and concepts.
Estimated Annual Salary: ₹35-50 Lakhs (≈ $45,000-$65,000 USD). This salary estimate is based on industry standards and location (Bangalore, India).
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