Senior Software Engineer, Open-Source AI Inference

CommonAI CIC

Cambridge

On-site

GBP 90,000 - 140,000

Full time

40 hours ago
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Benefits offered by this job

Competitive salary
Pension
Professional development
Networking opportunities
Office near Cambridge train station

Job summary

CommonAI CIC is seeking a Senior Software Engineer to deploy, extend, and optimise open-source AI infrastructure using vLLM. You will work across the Scaling Inference Lab and High Assurance programme, focusing on AI coding assistants, autonomous agents, and regulated-environment deployments.

You will contribute to open-source projects, improve latency and throughput, and collaborate with a diverse team including academia and industry partners in the Cambridge area.

Qualifications

  • Proven senior software engineering experience with Python and low-level languages (C/C++, Rust, CUDA, assembly).
  • Direct contributions to open-source ML/AI projects such as vLLM or similar high-performance frameworks.

Responsibilities

  • Deploy, instrument and monitor open weight models served using vLLM.
  • Implement new features within vLLM for novel hardware architectures.
  • Collaborate with the Panopticon team to extend vLLM for accuracy, explainability and accountability in regulated environments.
  • Upstream core changes with the open-source vLLM community.
  • Troubleshoot, profile and optimise inference performance (latency, throughput, hardware utilisation).

Skills

Python
C/C++
Rust
CUDA
assembly

Tools

vLLM
PyTorch
Hugging Face TGI
TensorRT-LLM
Ray

Job description

CommonAI CIC is seeking a Senior Software Engineer to deploy, extend, and optimise open-source AI infrastructure using vLLM. You will work across the Scaling Inference Lab and High Assurance programme, focusing on AI coding assistants, autonomous agents, and regulated-environment deployments.

You will contribute to open-source projects, improve latency and throughput, and collaborate with a diverse team including academia and industry partners in the Cambridge area.

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