6 of 6 Remote Low Latency Jobs in Cambridgeshire

into new innovation. As a Senior Digital FPGA Engineer you will develop FPGA's using SystemVerilog. You'll work closely with software and machine learning experts to help build low-latency/high-throughput applications. What skills and experience is required: FPGA Design, development and testing experience Previous experience in using SystemVerilog, VHDL and/or Verilog Software … skills using C/C++ or Python Exposure to Quartus and/or Vivado Any exposure or understanding of low latency, machine learning, or neutral network architectures would be beneficial but not essential. More ❯

and component levels, with the ability to take ownership of features. Good troubleshooting skills and able to eventually join the support rota. Experience in or willingness to learn distributed, low-latency, highly-concurrent systems will be a plus. Great English communication skills as well as collaboration skills and strong teamwork. mentality. You must be fluent in English. What More ❯

Contribute to the state of the art in high performance, low latency algorithmic software where nanoseconds matter. Exercise your creativity and computer science knowledge in creating software which pushes the speed limit. Collaborate with hardware engineers and sculpt quality C++ code with a full test suite. You'd be joining a specialised international technology firm in their Cambridge More ❯

scope for home working for a day or two per week. A highly competitive salary and benefits are on offer to the successful candidate. Keywords: C++, High Performance Software, Low-Latency, Networking, Cambridge Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well More ❯

a senior engineering role based in Cambridge, UK, working as part of an international team of software and hardware design engineers. The company's focus is in high-performance, low latency technologies, with an interest in parallel processing, algorithmic efficiency, data throughput, and network performance. You'd work alongside senior software engineers in Cambridge, and fellow hardware engineers More ❯

AI/ML products; produce clean code and contribute to internal methodologies for prompt engineering, evaluation, and LLM usage patterns. Tune prompts, pipelines, and infrastructure to ensure robust behaviour, low latency, and cost-efficient inference. Apply software engineering practices to AI codebases, ensuring maintainability, testing, continuous integration and delivery. Collaborate with HW design, SW engineering, and verification teams More ❯