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Solutions Engineer – Government, Defence and Critical Industries
Quantum Dice. Work with customers to identify high-value applications and translate challenges into mathematical models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in applying mathematical modeling, optimization, and advanced analytics to complex problems, with proficiency in Python and scientific computing libraries. Capable of leading projects within defense constraints while effectively collaborating with engineers and researchers.
Highest-signal resume keywords
Mathematical ModelingOptimization TechniquesPython ProficiencyUK Security ClearanceAdvanced Analytics
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Probabilistic InferenceQUBOIsing ModelsBayesian NetworksBenchmarking SolutionsClassical SolversCPUsGPUsScientific Computing LibrariesModelling
Soft Skills
Analytical SkillsProblem-Solving SkillsClear Presentation Skills
Tools & Technologies
Quantum Dice SimulatorsSoftware StackProbabilistic Processing Unit HardwareGit
Industry Keywords
Defence ConstraintsSecurity ClassificationExport ControlData HandlingUK Government Programmes
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Work with customers to identify high-value applications and translate challenges into mathematical models
- Build prototypes and demonstrators using Quantum Dice simulators, software stack and probabilistic processing unit hardware
- Apply optimisation, probabilistic inference and AI methods including QUBO, Ising models and Bayesian networks
- Benchmark solutions against classical solvers, CPUs and GPUs for solution quality, runtime and scalability
- Lead projects from requirements capture through pilot delivery
- Deliver reports, demonstrations and proposals
- Work within defence constraints including security classification, export control and data handling
- Collaborate with engineers and researchers
- Feed customer needs into product and hardware roadmaps
Requirements
What you’ll need- Degree in Engineering, Physics, Mathematics, Computer Science, Operational Research or similar, or equivalent experience
- Experience applying modelling, optimisation or advanced analytics to complex real-world problems
- Proficiency in Python and scientific computing libraries
- Familiarity with Git and collaborative development workflows
- Strong analytical and problem-solving skills
- Ability to present results clearly and objectively
- Ability to obtain and maintain UK Security Check (SC) clearance
- Normally requires at least five years' UK residency for SC clearance
- Eligibility to work on UK Government programmes
- Must meet UK security clearance requirements; offers are conditional on obtaining clearance
Benefits
Comp & perks- Work directly with leading organisations
- Opportunity to influence the future direction of the ORBIT platform
- Opportunity to help define applications of probabilistic computing in optimisation, decision-making and AI
- Collaboration with physicists, engineers, mathematicians and entrepreneurs
- Exposure to emerging quantum-enabled and probabilistic computing technologies