Cerebras Toronto
Cerebras is based in Sunnyvale, California, with its second engineering hub – the AI Centre of Excellence – located in Downtown Toronto. Toronto houses our Machine Learning and Software organization and has some of the most talented ML, optimization, and high-performance computing talent in the world. We have already built out an experienced team of over 100 engineers and computer scientists that are driving forward the next generation of our machine learning stack.
About the Role
As a ML Stack Engineer, you will directly impact the performance at which deep learning models are executed on hardware and be responsible for enabling next-generation AI applications that require substantial computational capabilities. In this position, you will develop algorithms for compilation, execution, acceleration, partitioning, placement, floor planning, and routing of communication for dataflow graphs on a massively parallel, multi-core architecture.
Specific responsibilities may include:
- Develop algorithms for allocation of compute, communication, and memory resources
- Implement mathematical models in C++ or Python using discrete optimization techniques and standard libraries and packages
- Measure, analyze, and improve optimization passes/algorithms
- Integrate successful optimizations into production software stack
Requirements
- Enrolled in the University of Toronto's PEY program with a degree in Computer Science, Computer Engineering, or other related disciplines
- Strong proficiency in C/C++
- Familiarity with Python or other scripting language
- The ability to operate at multiple levels of abstraction in the software stack
Preferred
- Familiarity with compiler technology (LLVM, MLIR)
- Familiarity with TensorFlow and PyTorch internals
- Knowledge of linear programming, constraint solvers, and combinatorial optimization
- Experience modeling optimization problems using simulated annealing, genetic programming, and dynamic programming
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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