Quantum Algorithm Engineer – Detection

Oxford Quantum Circuits (OQC)

. Develop quantum parent methods for detection, prediction and related estimation workloads .

Posted 9/25/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantum algorithm development, including quantum kernels, variational models, and optimization techniques, while effectively analyzing algorithm performance and resource requirements in real hardware contexts.

Highest-signal resume keywords

Quantum Algorithm ExpertiseAlgorithm Analysis SkillsQuantum Measurement StrategiesNoise Sensitivity AnalysisQuantum Compilation Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantum KernelsVariational ModelsEstimationOptimisationSamplingAlgorithm AnalysisResource EstimationQuantum MeasurementNoise Sensitivity AnalysisQuantum Compilation

Soft Skills

Strong OwnershipCommunication Skills

Industry Keywords

Quantum ComputingQuantum HardwareAlgorithm DevelopmentControlled Ablation StudiesBenchmarkingShadow-Model Training

About the role

Key responsibilities & impact

Develop quantum parent methods for detection, prediction and related estimation workloads
Explore quantum kernels, variational models, estimation, optimisation and sampling
Design quantum advice and observable-acquisition strategies for downstream shadow-model training
Analyse circuit cost, sample complexity, measurement requirements, noise robustness and resource requirements
Evaluate algorithm and circuit portability across quantum hardware, including compilation and hardware constraints
Design controlled ablation studies to isolate and quantify individual quantum components
Benchmark theoretical expectations against real-hardware evidence to guide algorithm development and product decisions
Work at the intersection of quantum algorithm research and applied product development

Requirements

What you’ll need

Broad quantum algorithm expertise across quantum kernels, variational models, estimation, optimisation or sampling
Strong algorithm analysis skills, including resource estimation and understanding practical quantum execution costs
Strong knowledge of quantum measurement strategies and their impact on algorithm performance
Experience analysing noise sensitivity and algorithm behaviour under realistic hardware constraints
Understanding of quantum compilation and its impact on performance and hardware portability
Ability to design rigorous experiments and distinguish theoretical promise from evidence demonstrated on real quantum hardware
Strong ownership and communication skills, with ability to work across quantum, software, product and engineering disciplines
Degree or equivalent practical experience in Quantum Computing, Computer Science, Physics or a related discipline

Benefits

Comp & perks

£260 million Series C funding round (company milestone, not individual compensation)
Unique lab infrastructure
Opportunity to work with a world-class team at the forefront of quantum computing
Opportunity to see your work redefine the limits of computation
Positive work culture
Benefits described at the linked careers page