ashby
Kernel Engineer
Cerebras Systems
Bengaluru, IND
Full-time
Senior
Onsite
Discovered 3 weeks ago
C++PythonAssemblyTensorFlowPyTorch
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Role Overview
As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads.
Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture.
You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels.
This includes building a library of parallel and distributed algorithms that maximize compute utilization and push the boundaries of training efficiency for state-of-the-art AI models.
Your work will be critical to unlocking the full potential of our hardware and accelerating the pace of AI innovation.
Key Skills for This Role
C++PythonAssemblyTensorFlowPyTorch
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Responsibilities
- Develop design specifications for new machine learning and linear algebra kernels and mapping to the Cerebras WSE System using various parallel programming algorithms.
- Develop and debug kernel library of highly optimized low level assembly instruction and C-like domain specific language routines to implement algorithms targeting the Cerebras hardware system.
- Develop and debug high-performance kernel routines in low-level assembly and a custom C-like (CSL) language, implementing algorithms optimized for the Cerebras hardware system.
- Using mathematical models and analysis to measure the software performance and inform design decisions.
- Develop and integrate unit and system testing methodologies to verify correct functionality and performance of kernel libraries.
- Study emerging trends in Machine Learning applications and help evolve Kernel library architecture to address computational challenges of the start-of-the-art Neural Networks.
- Interact with chip and system architects to optimize instruction sets, microarchitecture, and IO of next generation systems.
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