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Join Untether AI as an AI Applications Engineer to support customers with SDK for custom AI accelerator devices. Work closely with data scientists to optimize AI workloads on Untether AI products. Requirements include 5 years of applications engineering experience and strong collaboration skills with internal teams and customers.
The Hardware Systems Verification Engineer at Untether AI is responsible for driving test and verification efforts of AI accelerator circuit board and system products, integrating hardware products into datacentre systems, and providing solutions at the system level. Responsibilities include writing and executing verification plans, leading certification efforts, and performing continuous integration testing. Preferred skills include experience in automotive, medical, or aerospace industries, hardware design, automating tests with Teamcity and Python, and manufacturing test environment.
Seeking an experienced Compiler Engineer to develop software that maps neural nets onto hardware, implement data layout strategies, and work on efficient mappings for accelerator hardware. Collaborate with algorithm design and architecture teams to evaluate hardware architecture for future products.
Formal Verification Engineer at Untether AI responsible for driving formal verification methodology on multiple components inside Custom AI Inference IP. Requires knowledge of SystemVerilog Assertion, HDL languages, formal verification technologies, and experience in Design Verification with a Bachelor's or Master's degree in Electrical Engineering or Computer Engineering.