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Quantum Algorithm Developer

LinkedIn Travelers Hartford, CT
Not Applicable Posted April 5, 2026 Job link
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Requirements
  • Hands-On Quantum Implementation
  • Demonstrated ability to implement and prototype quantum algorithms, not just theoretical understanding
  • Ability to translate quantum computing research papers into working code
  • Experience conducting experiments on quantum hardware simulators and/or actual quantum computers
  • Quantum Algorithm Knowledge
  • Working knowledge of quantum algorithms including:
  • QAE (Quantum Amplitude Estimation)
  • Familiarity with quantum error mitigation techniques and current hardware limitations
  • Research-to-Prototype Execution
  • Proven ability to conduct proper research and translate findings into working prototypes
  • Experience moving from academic/theoretical concepts to functional code
  • Track record of prototyping ideas from research papers or novel approaches
  • Ability to curate problems with relevancy to specific domains and evaluate them for quantum advantage potential
  • Skill in distilling scaling properties of algorithm candidates
  • Classical Computing Reference Solutions (70% of work)
  • Strong programming skills in Python for prototyping and experimentation (required)
  • Experience developing classical-compute solutions that provide business value
  • Ability to implement reference solutions using traditional approaches before quantum implementation
  • Understanding of when classical approaches are sufficient vs. when quantum may provide advantage
  • Rigorous Data Analysis and Validation
  • Strong foundation in applying proper data analysis techniques
  • Ability to demonstrate value through facts, plots, and verifiable evidence
  • Experience analyzing algorithm performance through simulations and experiments
  • Skill in communicating technical findings with visual and statistical rigor
  • Comfortable with both Bayesian and/or Frequentist statistical frameworks
  • Advanced Analytics and Optimization
  • Strong background in optimization algorithms (linear programming, constraint optimization, metaheuristics)
  • Experience with machine learning techniques including deep learning and neural networks
  • Understanding of how quantum algorithms can complement or enhance classical ML approaches
  • Familiarity with hybrid quantum-classical algorithm architectures
  • Innovative Problem-Solving
  • Ability to think outside conventional approaches and connect dots across disparate research areas
  • Track record of applying insights from one domain to solve problems in another
  • Experience identifying emerging techniques that could address complex challenges
  • Demonstrated learning agility - quickly adapting to new tools, frameworks, and techniques
  • Ability to present complex quantum concepts to audiences at various technical levels
  • Experience documenting research findings and prototype results clearly
  • Skill in explaining “why” behind technical decisions, not just “what” was implemented
  • Comfortable collaborating with both technical peers and business stakeholders
  • 2-5 years of professional experience in quantum computing, research, or related field
  • Foundational research or emerging technology exploration experience valued over production deployment experience
  • 4 additional years of data engineering experience.
Preferred Skills
  • Hands-On Quantum Implementation
  • Demonstrated ability to implement and prototype quantum algorithms, not just theoretical understanding
  • Experience with IBM Qiskit for quantum circuit design and execution
  • Portfolio showing proof-of-concept quantum implementations - GitHub repositories with quantum code strongly preferred
  • Ability to translate quantum computing research papers into working code
  • Experience conducting experiments on quantum hardware simulators and/or actual quantum computers
  • Quantum Algorithm Knowledge
  • Fundamental understanding of quantum mechanics principles relevant to quantum computing
  • Working knowledge of quantum algorithms including:
  • QAOA (Quantum Approximate Optimization Algorithm)
  • QAE (Quantum Amplitude Estimation)
  • QUBO (Quadratic Unconstrained Binary Optimization) formulations
  • VQE (Variational Quantum Eigensolver)
  • Understanding of quantum advantage, quantum supremacy concepts, and scaling properties
  • Familiarity with quantum error mitigation techniques and current hardware limitations
  • Research-to-Prototype Execution
  • Proven ability to conduct proper research and translate findings into working prototypes
  • Experience moving from academic/theoretical concepts to functional code
  • Track record of prototyping ideas from research papers or novel approaches
  • Ability to curate problems with relevancy to specific domains and evaluate them for quantum advantage potential
  • Skill in distilling scaling properties of algorithm candidates
  • Classical Computing Reference Solutions (70% of work)
  • Strong programming skills in Python for prototyping and experimentation (required)
  • Understanding of when classical approaches are sufficient vs. when quantum may provide advantage
  • Comfortable with both Bayesian and/or Frequentist statistical frameworks
  • Understanding of how quantum algorithms can complement or enhance classical ML approaches
  • Ability to think outside conventional approaches and connect dots across disparate research areas
  • Track record of applying insights from one domain to solve problems in another
  • Experience identifying emerging techniques that could address complex challenges
  • Demonstrated learning agility - quickly adapting to new tools, frameworks, and techniques
  • Ability to present complex quantum concepts to audiences at various technical levels
  • Experience documenting research findings and prototype results clearly
  • Skill in explaining “why” behind technical decisions, not just “what” was implemented
  • Comfortable collaborating with both technical peers and business stakeholders
  • Foundational research or emerging technology exploration experience valued over production deployment experience
  • 4 additional years of data engineering experience.
Education
  • (Not required) – QAOA (Quantum Approximate Optimization Algorithm)
  • (Not required) – Education Credentials
  • (Not required) – 2-5 years of professional experience in quantum computing, research, or related field
  • (Required) – Master’s degree in Physics, Computer Science, Applied Mathematics, Statistics, or related STEM field (required)
  • (Not required) – PhD in Physics, Computer Science, Applied Mathematics, or related field (strongly preferred)
  • (Not required) – Foundational research or emerging technology exploration experience valued over production deployment experience
  • (Not required) – Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
  • (Not required) – 4 additional years of data engineering experience.