opencv jobs in San Diego

Design, implement, and optimize video processing and computer vision algorithms for mobile and embedded platforms at scale, from concept through production deployment. Profile and optimize algorithm performance across memory, compute, power, and bandwidth constraints on SoCs with embedded accelerators.…See more Lead system and algorithm-level architecture, collaborate with cross-functional hardware and software teams, and provide technical mentorship to engineers across experience levels.

Senior Engineer, Machine Learning at Element Biosciences will design, develop, and optimize deep learning models (CNNs, Vision Transformers, U-Net) for biological image analysis and deploy them to production on AWS or imaging instruments. Responsibilities include building end-to-end ML pipelines from data ingestion through inference, applying advanced image processing and computer vision techniques to multimodal biological images, and analyzing single-cell and multiomic data.…See more The role requires 5–7 years of experience with a Master's degree (or 0–3 years with a PhD) and hands-on proficiency in PyTorch, Python, and cloud deployment, with strong preference for experience in biomedical image modalities.

Design, develop, and expand an SDK and Demo App ecosystem for identity document scanning hardware, architecting core APIs that embed image processing, advanced calibration algorithms, and data capture libraries (OCR & barcode decoding). Optimize low-latency image pre-processing pipelines, integrate third-party recognition libraries, and port the SDK across multi-device and networked environments (Linux, embedded systems, tablets, edge devices).…See more Work closely with firmware engineers on device communication protocols (USB, Serial, PC/SC) and write technical documentation for global B2B clients. The role requires 3–5+ years of professional C++ and C#/.NET development with hands-on computer vision (OpenCV), embedded systems knowledge, and strong technical communication skills.

Lead the design and implementation of computer vision features and on-device prototyping using Snapdragon Vision API. Support engineering teams in building, integrating, and deploying CV APIs for commercial products across mobile, autonomous vehicles, IoT, and AR/VR platforms.…See more Develop technical documentation and sample materials showcasing CV capabilities to end-application developers. Requires 3–5 years of hands-on CV application development, strong understanding of CV algorithms and deep-learning pipelines, and proficiency in C/C++ and Python for rapid on-device prototyping.