Senior Computer Vision Algorithm Engineer – Hardware Co‑Optimization (Edge AI/SoC)

Develop and optimize computer vision algorithms, with emphasis on segmentation and real‑time performance. Implement and tune state‑of‑the‑art efficient AI architectures, including Transformers, Mamba‑style sequence models, and attention‑optimization techniques such as FlashAttention. Collaborate with hardware and SoC teams to co‑design accelerators and pipelines for CV and ML workloads. Profile and optimize model performance across memory, compute, and bandwidth constraints. Contribute to system‑level architecture decisions for next‑generation CV/AI products. Work closely with firmware and software teams to deploy models on embedded or edge platforms. Strong background in computer vision, especially segmentation (classical and deep learning-based). Solid understanding of SoC architecture, including compute accelerators, memory hierarchy, and hardware/software interfaces. Algorithm-hardware co‑design for edge AI Quantization, pruning, distillation, or other model‑efficiency techniques Real‑time CV systems or embedded AI deployment Performance profiling tools and hardware simulators Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field.