frameworks. Hands-on experience with integrating test automation into CI/CD pipelines for efficient and reliable deployments. Our Tech Stack C Computer Vision: C+/20, Qt, Boost, ZeroMQ, ElasticSearch. Web: Java, Node.js, RESTful APIs, JUnit. General: Git, Docker, AWS, Jenkins, GitHub Actions. ML: Python, TensorRT. Our agile teams work with the latest technologies to build solutions for sports More ❯
with testing live video streaming solutions, focusing on performance, low latency, and seamless user experiences would be advantageous Our Tech Stack C Computer Vision: C+/20, Qt, Boost, ZeroMQ, ElasticSearch. Web: Java, Node.js, RESTful APIs, JUnit. General: Git, Docker, AWS, Jenkins, GitHub Actions. ML: Python, TensorRT. Our agile teams work with the latest technologies to build solutions for sports More ❯
with testing live video streaming solutions, focusing on performance, low latency, and seamless user experiences would be advantageous Our Tech Stack C Computer Vision: C+/20, Qt, Boost, ZeroMQ, ElasticSearch. Web: Java, Node.js, RESTful APIs, JUnit. General: Git, Docker, AWS, Jenkins, GitHub Actions. ML: Python, TensorRT. Our agile teams work with the latest technologies to build solutions for sports More ❯
these impact signal data Experience building RF signal characterisation and diagnostics tools — e.g. constellation tracking, time-frequency plots, autocorrelation analysis Familiarity with tools such as GNU Radio, SDRangel, SoapySDR, ZMQ Understanding of wireless protocols and physical-layer signal structures (e.g. Wi-Fi, LTE, LoRa) Ability to design machine learning or statistical models for signal classification, anomaly detection or emitter identification More ❯
