Technical Lead, AI Systems Simulation

CommonAI CIC

. Lead the engineering team building a simulation platform for AI inference systems .

Posted 10/23/2026full-timeCambridge • United KingdomSenior💰 £110,000 - £147,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams to develop simulation platforms for AI inference systems, with a strong focus on architectural decision-making, technical leadership, and effective collaboration with scientific and engineering stakeholders.

Highest-signal resume keywords

Systems SimulationTechnical LeadershipAI Coding AgentsEngineering QualityPerformance Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentHardware/Software SystemsComputer ArchitectureDistributed SystemsHPC SystemsInference ServingExperimental Performance EngineeringCode ReviewDesign ReviewSimulation Testing

Soft Skills

MentoringJudgementCollaborationCommunicationProblem-Solving

Industry Keywords

Simulation PlatformAI Inference SystemsEngineering RoadmapMaintainable SoftwareReproducible ExperimentsTechnical DecisionsInvestor ReportingResearch PrototypesMeasurement ComparisonEngineering Systems

About the role

Key responsibilities & impact

Lead the engineering team building a simulation platform for AI inference systems
Bring together realistic workloads, hardware models and physical measurements to predict system performance and make uncertainty explicit
Translate scientific goals into an implementable architecture, engineering roadmap and delivery plan
Own the simulator codebase and make architectural decisions with the Scientific Director
Assess existing simulators, serving software and partner components; decide what to reuse, extend or build
Establish interfaces connecting platform components
Shape recruitment, assess candidates, mentor colleagues and line-manage engineers
Build complementary expertise across software, measurement, modelling and hardware
Test simulator predictions against physical measurements and realistic LLM workloads
Establish practices for maintainable software, testing, reproducible experiments and effective use of AI coding agents
Review designs and results with relevant specialists
Contribute directly to implementation and debugging when needed
Lead studies from investor questions through simulation and measured validation to evidence reports
Report to the SIL Scientific Director and work closely with the Director of Engineering

Requirements

What you’ll need

Substantial industrial engineering experience delivering complex software or hardware/software systems, with clear examples of technical decisions you have owned
Depth in at least one of systems simulation, computer architecture, distributed or HPC systems, inference serving, or experimental performance engineering
Experience leading people through difficult technical work, explaining trade-offs and developing others; technical leadership and mentoring may substitute for formal management experience
Judgement to turn high-level scientific direction into independent engineering decisions and recognise when wider input is needed
Practical engineering ability to review code and designs, investigate failures and help colleagues resolve implementation difficulties
Experience using AI coding agents, with ability to assess their output and help colleagues use them effectively
Experience connecting research prototypes to maintained engineering systems, collaborating with universities or technology suppliers, and comparing models with measurements is valuable
Engineering quality and demonstrated leadership valued over a particular qualification or previous management title

Benefits

Comp & perks

A collaborative and supportive work environment
The opportunity to have a high impact in a growing organisation
Competitive salary package, including pension and benefits
Professional development opportunities
Networking opportunities with influential figures from across the tech sector and academia
A vibrant office environment located a few minutes’ walk away from Cambridge train station
Frontier models and coding agents with a substantial tooling budget