DET-ET-Quantum-Senior-GDSN02

Quantum Engineer – Quantum Computing & AI Applications (Senior)

The Opportunity

Your Key Responsibilities

• Design and implement quantum algorithms using platforms such as Qiskit, Cirq, PennyLane, or Braket, aligned to client and industry use cases.
• Integrate AI/ML models with quantum circuits or hybrid systems to demonstrate real-world quantum advantage.
• Evaluate and compare performance across quantum simulators and hardware backends, optimizing code for noise resilience and scalability.
• Work closely with data science and cloud teams to build hybrid quantum-classical workflows using cloud-native environments (AWS Braket, Azure Quantum, IBM Quantum).
• Translate complex quantum concepts into functional prototypes with measurable business outcomes.
• Collaborate with domain experts to define use cases, benchmark solutions, and guide PoCs and MVPs.
• Contribute to technical documentation, research papers, whitepapers, and client presentations.
• Stay on the cutting edge of quantum computing advancements, ensuring EY’s solutions remain future-ready and aligned with the technology roadmap.
  

Soft Skills

• Strong analytical and abstract reasoning skills, able to work through complex, multidimensional problems.
• Excellent communication skills—capable of translating advanced technical content into actionable insights for non-technical stakeholders.
• A collaborative mindset with the ability to work in fast-paced, multidisciplinary teams.
• Curiosity and passion for emerging tech—especially quantum’s role in shaping the future of computation.
  

To Qualify for the Role, You Must Have

• A Bachelor’s or Master’s degree in Physics, Computer Science, Quantum Information, or a related technical discipline.
• 4–6 years of hands-on experience in quantum computing tools and libraries like Qiskit, Cirq, PennyLane, t|ket>, or Braket.
• Proven experience integrating AI/ML techniques (e.g., neural networks, reinforcement learning, optimization algorithms) with quantum computing platforms.
• Strong programming skills in Python, with a focus on algorithm development, simulation, and performance optimization.
• Experience with cloud platforms supporting quantum compute (AWS Braket, Azure Quantum, or IBM Quantum Experience).
• Exposure to building hybrid systems combining classical and quantum processing for real-world applications.
  

Ideally, You’ll Also Have

• A solid background in quantum mechanics, linear algebra, and information theory.
• Familiarity with variational quantum algorithms (VQE, QAOA), quantum annealing, or quantum kernel methods.
• Experience in developing PoCs or MVPs for clients in sectors such as finance, supply chain, pharmaceuticals, or cybersecurity.
• Contribution to open-source quantum communities or published research in quantum-AI intersections.
• Knowledge of quantum error mitigation, fault-tolerant architectures, and quantum benchmarking.
  

What Working At EY Offers

EY offers:

• A vibrant, innovation-driven culture committed to deep tech transformation.
• Access to leading quantum hardware and simulation environments.
• Opportunities for professional growth, technical training, and industry exposure.
• A collaborative ecosystem where your contributions fuel real business change.
  

EY | Building a better working world