Cerebras is a well-funded startup building the largest microchip in the world for AI/ML Training workloads (56 times the size of the largest GPU). Our hardware is already making a real difference for customers today (and is even used in the search for a cure to COVID). If working on some of the most challenging problems in ML, computer science and computer engineering sounds exciting, we should talk. Canadian visa support can be provided to well-qualified, experienced candidates. The Toronto office is currently looking to hire for three positions:
(1) Machine Learning: Looking for candidates with either industry experience or advanced academic degrees in neural networks and deep learning to join the Cerebras ML team, which includes many advanced degree holders from top-tier institutions and which regularly produces research-level, publishable work.
(2) Compiler: Looking for candidates with deep expertise in compiler technology (specifically LLVM)
(3) Kernel Development: Looking for candidates with experience in advanced assembly-level optimization, performance optimization of linear algebra algorithms, and/or CUDA/GPGPU/PTX or OpenCL experience, ideally with some exposure to machine learning algorithms, to optimize code running on our custom hardware.
Please contact me at eugene dot osovetsky at cerebras dot net (or please feel free to ask questions here).
Cerebras is a well-funded startup building the largest microchip in the world for AI/ML Training workloads (56 times the size of the largest GPU). Our hardware is already making a real difference for customers today (and is even used in the search for a cure to COVID). If working on some of the most challenging problems in ML, computer science and computer engineering sounds exciting, we should talk. Canadian visa support can be provided to well-qualified, experienced candidates. The Toronto office is currently looking to hire for three positions:
(1) Machine Learning: Looking for candidates with either industry experience or advanced academic degrees in neural networks and deep learning to join the Cerebras ML team, which includes many advanced degree holders from top-tier institutions and which regularly produces research-level, publishable work.
(2) Compiler: Looking for candidates with deep expertise in compiler technology (specifically LLVM)
(3) Kernel Development: Looking for candidates with experience in advanced assembly-level optimization, performance optimization of linear algebra algorithms, and/or CUDA/GPGPU/PTX or OpenCL experience, ideally with some exposure to machine learning algorithms, to optimize code running on our custom hardware.
Please contact me at eugene dot osovetsky at cerebras dot net (or please feel free to ask questions here).