Simulation Validation and Uncertainty Engineer

About CommonAI

The opportunity

What you will do

• Calibrate simulator models against measurements and evaluate predictions on cases not used for calibration.
• Represent uncertainty from measurements, assumptions, parameters, operational variation and limited simulation runs.
• Analyse uncertainty in comparisons, including shared sources, and show when rankings could change or results exceed validation evidence.
• Design experiments with measurement and workload engineers to test assumptions and reduce decision-relevant uncertainty.
• Integrate methods into repeatable workflows and explain assumptions and limitations to technical colleagues.
• An early project may establish a calibration and validation workflow for comparing two architectures.

Requirements

• Mathematical maturity and careful reasoning about models, data, variation and assumptions behind quantitative claims.
• Software engineering experience building readable, tested and reusable numerical or analytical tools.
• Relevant experience in one or more of quantitative systems performance analysis, statistical modelling, simulation validation, uncertainty quantification, scientific/HPC software or experimental design theory.
• Ability to collaborate with specialists and explain both results and evidence limitations.
• Practical experience using AI coding agents and checking their output.
• Model discrepancy, sensitivity analysis, Bayesian methods, surrogate models, sequential experimental design, computer architecture or inference systems are useful additional experience or familiarity.

Working arrangement

• Hybrid, with Cambridge attendance agreed individually around collaboration and the work; applicants across the UK are welcome.
• An office is located a few minutes' walk from Cambridge train station.

Compensation

• Competitive salary package, including pension and benefits; no compensation amount or cadence is specified.

Why join

• Contribute to UK AI capability and improve how investment and compute serve the public good.
• Build connections across hardware SMEs, technology companies, investors and universities.
• Help shape a growing team with startup pace and academic links, using frontier models and coding agents with a substantial tooling budget.
• Professional development and networking opportunities in a collaborative environment.

Employment arrangements