Lead, AI Inference Simulation Platform

Commonai C.I.C.; Cambourne; Hybrid; GBP 120,000 - 150,000; Full time

Benefits offered by this job

Collaborative work environment

Competitive salary package

Professional development opportunities

Flexible/hybrid work schedule

Job summary

CommonAI CIC is seeking a senior engineering leader to build and run a simulation platform for AI inference systems. You will integrate realistic workloads, hardware models, and measurements to predict performance, quantify uncertainty, and steer design choices.

You will report to the SIL Scientific Director and line-manage engineers, shaping recruitment and the team with a hands-on leadership style. Experience turning scientific goals into implementable architecture is essential.

Qualifications

• Substantial industrial engineering experience delivering complex software or hardware/software systems.
• Depth in at least one of systems simulation, computer architecture, distributed or HPC systems, inference serving, or experimental performance engineering.
• Evidence that you can lead people through difficult technical work and develop others.
• Judgement to turn high‑level scientific direction into engineering decisions.

Responsibilities

• Own the simulator codebase and translate scientific goals into an engineering roadmap.
• Assess existing simulators and interfaces; decide what to reuse, extend or build.
• Shape recruitment, mentor engineers, and line-manage team members.
• Ensure simulator predictions are validated against physical measurements and realistic workloads.
• Establish engineering practices for maintainable software and reproducible experiments.
• Contribute to implementation and debugging when needed.
• Lead a project from investor question through simulation and validated evidence report.

Skills

Systems simulation

Leadership

Architectural decisions

AI inference systems

Performance engineering

Job description

CommonAI CIC is seeking a senior engineering leader to build and run a simulation platform for AI inference systems. You will integrate realistic workloads, hardware models, and measurements to predict performance, quantify uncertainty, and steer design choices.

You will report to the SIL Scientific Director and line-manage engineers, shaping recruitment and the team with a hands-on leadership style. Experience turning scientific goals into implementable architecture is essential.