CompilerJobs

#compilers #tensor #processor #remote #canada #llvm #mlir

Compiler Engineer
at Groq
Toronto, Canada (Remote)

As compiler engineer, you will be responsible for developing compiler optimizations for our state-of-the-art spatial compiler - targeting Groq's revolutionary Tensor Streaming Processor.
You will own specific components and compiler passes within Groq's TSP compiler, and be in charge of designing new optimizations, 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 your components and passes produce 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.

More details:
https://groq.com/careers/?gh_jid=4192795003

Groq

Careers - Groq

It takes a united team to change the face of machine learning at scale. At Groq, you will work with some of the world’s most talented engineers and leaders to

www.tgoop.com/compiler_jobs/106

728 viewsalekum, Jul 3, 2022 at 11:12

#compilers #tensor #processor #remote #canada #llvm #mlir

Compiler Engineer
at Groq
Toronto, Canada (Remote)

As compiler engineer, you will be responsible for developing compiler optimizations for our state-of-the-art spatial compiler - targeting Groq's revolutionary Tensor Streaming Processor.
You will own specific components and compiler passes within Groq's TSP compiler, and be in charge of designing new optimizations, 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 your components and passes produce 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.

More details:
https://groq.com/careers/?gh_jid=4192795003

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