Principal Machine Learning Compiler Engineer (MLIR)

Principal Machine Learning Compiler Engineer (MLIR)
We are a Stanford/MIT spinout that combines photonics devices with hardware acceleration to create faster and more efficient processing chips for Artificial Intelligence. We founded our mission in 2018 and are looking for a Lead Compiler Engineer to join our growing team after our historic Silicon Valley Series B fundraise.
As Prinicpal Machine Learning Compiler Engineer, you will be tasked out with building and leading the team who are responsible for creating a unique deep learning compiler (based on LLVM) for their photonic hardware. Even though you will be leading a team, you must come with the appropriate technical background in compilers and be able to roll your sleeves up on a number of occasions.
Additionally, we can support remote workers in the USA!
What we can offer a Prinicpal Machine Learning Compiler Engineer:
An opportunity to work with our collaborative research team on novel work that will revolutionize modern-day computing as we know it.
A culture of openness and collaboration we are all working together under a shared vision.
A great location in Mountain View
Excellent benefits.
Key skills include: Compiler, Compiler Engineer, LLVM, GLOW, MLIR, Software Engineering, Compiler Construction, Backend Compiler, Frontend Compiler, Intermediate Representation, GPGPU, TensorFlow

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