4 of 4 Edge Computing Jobs in Cambridgeshire

firmware development , including Embedded Linux environments. IoT applications , connecting sensors, hardware and physical devices to cloud platforms. Raspberry Pi or similar devices , including edge computing and IoT gateways. Communication protocols such as MQTT and Modbus (TCP/RTU) or other industrial protocols. Experience with network-connected devices, telemetry ...

team developing advanced technical capabilities that protect sensitive government environments and operations. The role is predominantly greenfield development, working across a federated architecture spanning edge devices, central servers and data analytics, taking an established prototype towards a more mature production capability. You will work on software supporting monitoring, sensing … Software Engineer- DV Security Cleared- Desirable Technical Experience Experience with some of the following technologies would be highly beneficial: NVIDIA CUDA/GPU-accelerated computing Machine learning and data analytics NumPy/SciPy, PostgreSQL/SQLite, Docker/containerised environments Ansible, Cython, Celery/Redis JavaScript, HTML5 and CSS3 ...

onto the next challenge. You’ll get to co‐develop systems which combine advanced sensors, imaging, EM, acoustics, fluidics and AI, with applications in edge computing, instrumentation and special projects. You may apply skills in digital electronics, FPGA, DSP, embedded code, analogue electronics and RF. Along with ...

computer architecture? This role offers the opportunity to do exactly that! Our AI technologies span smartphones, laptops, automotive, IoT, robotics, drones and other edge markets. We work across the complete software and hardware stack. This includes emerging AI models and application use cases , frameworks, runtimes, compilers, compute platforms … architecture, systems software or hardware/software co-design. Deep knowledge of computer and system architecture is essential. This should include processors, memorysystems, heterogeneous computing and hardware acceleration. Strong knowledge of modern AI models and workloads is also required. Candidates should understand the computational characteristics that determine performance ...