JOB POSTING INFORMATION
Position Type:	Professional Experience Year Co-op (PEY Co-op: 12-16 months)
Job Title:	Kernel Engineer
Job Location:	Toronto
Job Location Type:	Flexible
If working on site, can you provide a copy of your COVID-19 safety protocols?:	No
Number of Positions:	1
Salary:	$42.00 hourly for 40.0 hours per week
Start Date:	05/06/2024
End Date:	04/25/2025
Job Function:	Information Technology (IT)
Job Description:	Cerebras Systems has pioneered a groundbreaking chip and system that revolutionizes deep learning applications. Our system empowers ML researchers to achieve unprecedented speeds in training and inference workloads, propelling AI innovation to new horizons. The Condor Galaxy 1 (CG-1), unveiled in a recent announcement, stands as a testament to Cerebras' commitment to pushing the boundaries of AI computing. With a staggering 4 ExaFLOP processing power, 54 million cores, and 64-node architecture, the CG-1 is the first of nine powerful supercomputers to be built and operated through an exclusive partnership between Cerebras and G42. This strategic collaboration aims to redefine the possibilities of AI by creating a network of interconnected supercomputers that will collectively deliver a mind-boggling 36 ExaFLOPS of AI compute power upon completion in 2024. Cerebras is building a team of exceptional people to work together on big problems. Join us! About The Role As a Kernel Engineer on our team, you will work with leaders from industry and academia at the intersection of hardware and software to develop state-of-the-art solutions for emerging problems in AI and HPC.  Our team of developers is responsible for the design, implementation, validation, and performance tuning of deep learning operations on highly parallel custom processors. We are developing a library of parallel and distributed algorithms to maximize hardware utilization and accelerate the training of deep neural networks to unprecedented speeds.  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  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
Job Requirements:	Requirements Enrolled within University of Toronto's PEY program with a degree in Computer Science, Computer Engineering, or any other related discipline Understanding of hardware architecture concepts — must be comfortable learning the details of a new hardware architecture Skilled in C++ and Python programming languages  Good knowledge of library and/or API development best practices  Strong debugging skills and knowledge of debugging complex software stack  Preferred Skills Experience in kernel development and/or testing  Familiarity with parallel algorithms and distributed memory systems  Experience in programming accelerators such as GPUs and FPGAs  Familiarity with Machine Learning neural networks and frameworks such as TensorFlow and PyTorch  Familiarity with HPC kernels and their optimization
Preferred Disciplines:	Computer Engineering Computer Science Engineering Science (Biomedical) Engineering Science (Electrical and Computer) Engineering Science (Machine Intelligence) Engineering Science (Robotics)
All Co-op programs:	No
Targeted Co-op Programs:	Targeted Programs Professional Experience Year Co-op (12 - 16 months)

APPLICATION INFORMATION
Application Deadline:	Nov 1, 2023 11:59 PM
Application Receipt Procedure:	Online via system
Additional Application Information:	Please apply with both resume & transcript. Lacking transcript will disqualify you from being considered.  Note that applications will be considered on a rolling basis. Apply as early as possible.
U of T Job Coordinator:	Yasmine Abdelhady

ORGANIZATION INFORMATION
Organization:	Cerebras Systems
Division:	Computer Science
Website:	https://cerebras.net/

ADDITIONAL INFORMATION
Length of Workterm:	FLEXIBLE PEY Co-op: 12-16 months (range)