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, implementation and 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