Compiler Tech Lead at Untether AI | Torre
Compiler Tech Lead
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Untether AI

Compiler Tech Lead

Untether AI
Posted by
Lily Najm
Emma
Emma
Help companies run AI workloads to run neural networks faster, cooler, and cost-effectively using at-memory computing.
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Full-time

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Hybrid (134 Peter St, Toronto, ON M5V 2H2, Canada)
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Published about 4 years ago

Responsibilities & more

Untether AI is looking for an experienced Compiler Engineer. The ideal candidate will have extensive experience building compilers for a variety of architectures, working with established frameworks such as LLVM, and intimate understanding of the full compilation life-cycle. Copmuter Science / Engineering Degree (Preferably MS or PhD) The Untether AI compiler team is responsible for creating software that translates a wide variety of neural nets into efficient mappings and fast implementations on our accelerator hardware, from data-in to data-out. In this role, you will design and architect key components of the compilers, mentor junior team members, and take part in designing our next generation of hardware. Responsibilities: - Design and implement software that maps a neural net onto our unique spatial architecture. - Stay abreast of latest developments in network compilation and optimization, and bring those learnings to our tool flow. - Drive definition and adoption of best practices. - Support roadmap development, planning, and recruiting activities, and help maintain a productive environment in the team. - Work closely with upstream and downstream teams. - Mentor and guide junior engineers. - Evaluate current and proposed hardware architecture for future products.
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