COMPILER_JOBS Telegram 93
#compiler #canada #management #lead #remote

Compiler Tech Lead/Manager
Toronto, Canada (Remote)

As Compiler Tech Lead / Manager, you will be responsible for defining and developing compiler optimizations for our state-of-the-art spatial compiler - targeting Groq's revolutionary Tensor Streaming Processor. You will be the technical lead for Groq's TSP compiler, and be in charge of leading other engineers, hiring and recruiting world class talent, working with planning, sales, and marketing teams, architecting new passes, developing innovative scheduling techniques, and developing new front-end language dialects to support the rapidly evolving ML space. You will also be required to benchmark and monitor key performance metrics to ensure that the compiler is producing efficient mappings of neural network graphs to the Groq TSP. Experience with LLVM and MLIR preferred, and knowledge with functional programming languages an asset. Also, knowledge with ML frameworks such as TensorFlow and PyTorch, and portable graph models such as ONNX desired.

We are changing as the world changes and have evolved to a remote first company. Some roles may require being located near our primary sites, which will be indicated in the job description

Details:
https://groq.com/careers/?gh_jid=4198717003



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#compiler #canada #management #lead #remote

Compiler Tech Lead/Manager
Toronto, Canada (Remote)

As Compiler Tech Lead / Manager, you will be responsible for defining and developing compiler optimizations for our state-of-the-art spatial compiler - targeting Groq's revolutionary Tensor Streaming Processor. You will be the technical lead for Groq's TSP compiler, and be in charge of leading other engineers, hiring and recruiting world class talent, working with planning, sales, and marketing teams, architecting new passes, developing innovative scheduling techniques, and developing new front-end language dialects to support the rapidly evolving ML space. You will also be required to benchmark and monitor key performance metrics to ensure that the compiler is producing efficient mappings of neural network graphs to the Groq TSP. Experience with LLVM and MLIR preferred, and knowledge with functional programming languages an asset. Also, knowledge with ML frameworks such as TensorFlow and PyTorch, and portable graph models such as ONNX desired.

We are changing as the world changes and have evolved to a remote first company. Some roles may require being located near our primary sites, which will be indicated in the job description

Details:
https://groq.com/careers/?gh_jid=4198717003

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