Software Engineer - AI and HPC Networking

At Oriole Networks, we are developing disruptive technologies for AI/ML and HPC networking which will revolutionise Data Centers, speeding up training and inference, whilst dramatically reducing energy consumption for a sustainable future. We are looking for an experienced Software Engineer to develop drivers, middleware, example applications and embedded control software for our AI/ML and HPC networking solution. You will work iteratively through a series of prototypes to ultimately deliver a production grade solution. Responsibilities will include software architecture definition, implementationand testing, as well as debugging and benchmarking. Responsibilities: Software architecture definition in collaboration with the broader team Preparing detailed technical documentation and presentations to stakeholders Linux PCIe driver development Integration with training and inference frameworks on CPU and GPU Embedded software development within our network interface card Example application development and benchmarking, such as AI training Working with prototype hardware, identifying and root causing bugs and issues Required Skills & Experience: High speed Linux PCIe driver development Experience working directly with prototype hardware alongside the hardware design team Production experience, including; development & validation Bachelors or Masters degree in Computer Science/other relevant fields or experience within the industry. Experience with some/all of the following would be beneficial: RDMA and Libfabrics. *CCL libraries PCIe peer-to-peer and GPU Direct Embedded systems experience #J-18808-Ljbffr