Embedded AI Engineer for Quantum ML (Hybrid)
Role details
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Tech stack
Requirements
A leading Quantum AI company is seeking an Embedded Systems Engineer to work on cutting-edge solutions that enhance AI performance. This hybrid position requires a Bachelor's degree in a related field and 3 years of experience in embedded systems and firmware development. Ideal candidates should be proficient in Python and C, possess a strong understanding of quantization techniques, and have excellent collaboration skills. This fixed-term contract runs until the end of June 2026. #J-18808-Ljbffr