Cambridge Residency Programme: Next-generation networks for AI Datacentre Networks

You will advance the research on AI networks through design, simulations, testbed cross-validation, and implementing promising solution into frameworks for demonstration.

• Evaluate the performance of novel network architecture for AI using analytical modelling and simulation

• Validate analytical models using our experimental testbed.

• Work closely with collaborators within our team, in product teams, and other research groups to expand our tools to solve larger challenges

• Expand existing tools and analysis to cover scenarios of interest to product teams.

• Design new network architectures leveraging new emerging hardware such as co-package optics, optical circuit switches, and new interconnects.

Do you have experience in Software deployment?, Do you have a Doctoral degree?, * A PhD in a relevant field (e.g. ML, Computer Science, Computer Engineering, Mathematics) or equivalent industry experience.

• Strong understanding and hands-on experience with one or more of: analytical modelling of distributed computer systems (e.g. alpha-beta or flow-based models for networks), inference software stacks and related tools.

• Ability to clearly communicate your research to a diverse audience.

• Adaptability to engage in and embrace new research domains.

Preferred/Additional Qualifications:

• Strong coding (python and C++) and engineering skills.

• Experience with circuit switched network and/or modelling and implementing collectives.

• Experience with the deployment of large language models.

• Experience with CUDA/RDMA programming.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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