Embedded ML Engineer: Hardware-Aware AI for Autonomy
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Zendar seeks experienced ML engineers to optimize and deploy machine learning models on heterogeneous embedded computing platforms across the automotive sector. You will work at the intersection of ML, compilers, runtime systems and computer architecture, bridging models from researchers to production hardware.
A key focus is balancing model quality with computational efficiency, developing hardware-aware architectures, and evaluating latency, throughput and memory usage while keeping model