Software Engineer, AI Systems Simulation

CommonAI CIC

. Develop and integrate simulation components capturing behaviour and interactions relevant to AI infrastructure comparison .

Posted 10/23/2026full-timeCambridge • United KingdomMid-LevelSenior💰 £60,000 - £105,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong software engineering skills with a focus on building, debugging, and maintaining complex technical software. Proficient in developing and integrating simulation components, utilizing AI coding agents, and collaborating effectively with specialists in adjacent areas.

Highest-signal resume keywords

Software Engineering SkillsDiscrete-Event SimulationPython ProgrammingAI Coding Agents ExperiencePerformance Modelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentDebuggingSimulation DevelopmentPerformance ModellingIntegration of Scientific SoftwareResource Use ModellingTesting AssumptionsBuilding SoftwareMaintaining SoftwareUnderstanding Code

Soft Skills

Collaborative ApproachJudgment for CorrectnessProblem-Solving

Tools & Technologies

VLLMSGLangSimulator FrameworksHPC SystemsWorkload ModelsMeasurement Datasets

Industry Keywords

AI InfrastructureHybrid Work ArrangementPostgraduate StudyUK Experience

Tech Stack

Tools & technologies

PythonRustC++

About the role

Key responsibilities & impact

Develop and integrate simulation components capturing behaviour and interactions relevant to AI infrastructure comparison
Work with the technical lead and partners to evaluate existing frameworks and software
Extend and connect useful components through clear interfaces
Develop models of system state and resource use so changes in one component have appropriate consequences elsewhere
Build reproducible simulation scenarios, diagnostic outputs and tests
Identify incorrect assumptions, integration errors and unsupported cases
Compare predictions with evidence alongside measurement and uncertainty colleagues
Improve models and integrate calibration and uncertainty methods into the simulator
Maintain reliable software, documentation and development workflows
Use AI coding agents to support implementation and testing
Bridge an existing simulator component with workload models and measurement datasets to produce reproducible predicted-versus-measured performance comparisons

Requirements

What you’ll need

Strong software engineering skills and evidence of building, debugging and maintaining substantial technical software
Experience in one or more of: discrete-event simulation; computer architecture or performance modelling; distributed/HPC systems; inference runtimes and serving; memory or network modelling; integration of scientific software and heterogeneous components
Ability to understand unfamiliar code, reason about interfaces and assess the suitability and maintenance costs of reusing, extending or building software
Collaborative approach to testing assumptions and working with specialists in adjacent areas
Practical experience using AI coding agents, with judgement to check their output for correctness and maintainability
Python, C++, Rust or other relevant systems or scientific programming experience can provide a route into the role
Familiarity with vLLM or SGLang, simulator frameworks, or hardware performance tools would be useful
Relevant postgraduate study is useful, but qualifications are secondary to experience and quality of work
Applicants must be able to attend Cambridge as agreed under the hybrid arrangement
Experience in the UK or earlier-career candidates with strong evidence of ability may be considered

Benefits

Comp & perks

Competitive salary package, including pension and benefits
Professional development opportunities
Networking opportunities with influential figures from across the tech sector and academia
Substantial tooling budget for frontier models and coding agents
Collaborative and supportive work environment
High-impact opportunity in a growing organisation
Vibrant office environment a few minutes’ walk from Cambridge train station
Flexible hybrid attendance arrangements
Permanent employment, part-time arrangements and consultancy options