16 days ago
Responsibilities
- Characterize and simplify communication paths between accelerators by tracing latency and overhead across networking, runtime, memory, and device layers.
- Develop faster data movement across heterogeneous hardware using RDMA, programmable NICs, DPUs, switches, and software-based cross-device memory management.
- Build mechanisms for transferring model state across accelerator types and execution strategies, including KV cache connectors.
- Evaluate scale-up and scale-out fabrics and inform cluster architecture and infrastructure integration.
- Own the technical strategy for reducing communication constraints across heterogeneous accelerator systems.
Requirements
- Deep understanding of networking and communication systems 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 and the ability to trace bottlenecks across abstraction layers.
- Ability to question existing abstractions, generalize across unfamiliar technologies, and simplify systems around workload requirements.
Benefits
- Competitive salary determined by skills and experience.
- Equity and ownership.
- Private healthcare.
- Visa sponsorship and relocation benefits.
- In-person work at the London office with provided tools, space, and workplace setup.
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