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Callosum

Orchestrates AI workloads across specialized silicon

Networking & Interconnect Systems - Member of Technical Staff

Software EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Deep understanding of networking and communication systems, including reasoning across protocols, hardware, memory systems, and software layers.
  • Experience with high-performance data movement such as RDMA, Ethernet fabrics, accelerator interconnects, programmable networking, or similar latency-sensitive systems.
  • Strong systems performance instincts, including tracing bottlenecks across abstraction layers and distinguishing fundamental constraints from accidental ones.
  • Ability to question existing abstractions, generalise across unfamiliar technologies, and simplify systems around workload requirements.

Responsibilities

  • Characterise and simplify communication paths between accelerators, tracing latency and unnecessary overhead across networking, runtime, memory, and device layers.
  • Develop faster data movement across heterogeneous hardware, exploring RDMA, programmable NICs, DPUs, switches, and software approaches to cross-device memory management.
  • Build flexible mechanisms for transferring model state across accelerator types and execution strategies, including KV cache connectors across different forms of parallelism.
  • Evaluate existing and emerging scale-up and scale-out fabrics, informing cluster architecture, infrastructure integration, and how heterogeneous accelerator communication should evolve.

About the Company

Callosum

Orchestrates AI workloads across specialized silicon

Callosum builds AI infrastructure that unifies different AI models and hardware chips to run workloads on the best combination of model and chip for each task. Its Tailored Inference APIs route tasks to the optimal model–chip pair while honoring cost, energy, and latency constraints, using partners like Cerebras and Rebellions for specialized silicon. Unlike approaches that rely on one model and uniform hardware, Callosum orchestrates multiple models and chips to maximize efficiency. The company's goal is to enable scalable, cost-efficient AI inference across heterogeneous hardware by intelligently matching tasks to the right combination of model and accelerator.

Company size
11-50
Company stage
Seed
Total funding
$110.3M
Headquarters
London, United Kingdom
Founded
2025

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