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Senior Systems Communication Engineer (Heterogeneous AI Accelerators)

United Kingdom
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AI Summary

Lead the development of high-performance communication systems for heterogeneous AI accelerators, optimizing data movement across protocols, hardware, and software layers to eliminate latency bottlenecks. Own technical strategy for RDMA, programmable NICs, and emerging interconnects to enable scalable, cost-efficient AI inference. Drive innovation in cross-device memory management and cluster architecture for next-gen intelligent systems.

Key Highlights
Own technical strategy for reducing communication overhead in heterogeneous AI systems, spanning protocols, memory, and networking hardware
Develop high-speed data movement solutions using RDMA, programmable NICs, DPUs, and cross-device memory management
Evaluate and integrate emerging scale-up/scale-out fabrics to inform cluster architecture and accelerator communication evolution

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Key Responsibilities
Characterize and simplify communication paths between heterogeneous accelerators, tracing latency and overhead across networking, runtime, memory, and device layers
Develop faster data movement mechanisms across accelerators using RDMA, programmable NICs, DPUs, and software-based cross-device memory management
Build flexible model state transfer mechanisms (e.g., KV cache connectors) for different accelerator types and execution strategies
Evaluate existing and emerging scale-up/scale-out fabrics to inform cluster architecture and heterogeneous accelerator communication strategies

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Technical Skills Required
Networking and Communication Systems High-Performance Data Movement (RDMA, Ethernet fabrics) Systems Performance Optimization

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Benefits & Perks
Competitive Salary (£101K - £192K)
Equity & Ownership
Private healthcare

Job Description

We’re living through a Cambrian explosion of intelligence: new models and new chips, each specialised for different tasks, are arriving all at once. The result is a new era for AI, one of radical heterogeneity.Callosum is the Intelligent Systems Company. We believe the next generation of AI won't be defined by any single model or chip, but by intelligent systems in which hardware and intelligence co-evolve. We are building the infrastructure that unifies heterogeneous compute across the full stack. This opens a new axis of scaling intelligence: a dynamic system that tailors itself to what each workload actually needs, whether that's speed, cost, precision, or whatever unit comes next.
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Job Overview
Posted Aug 20, 2026
Employment Full-time
Experience Not Applicable
Location United Kingdom
Category Networking
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