🧠 Role Overview

We’re seeking a hands-on Qiskit Quantum Developer to implement a financial optimization problem using IBM’s Qiskit SDK. You’ll convert the defined problem (e.g., portfolio optimization) into a quantum-compatible format using QAOA or Ising models, and return usable results for the PoC API.

🔧 Responsibilities

• Translate the financial optimization problem into a Qiskit-based quantum algorithm
• Build the quantum circuit using QAOA or Ising Hamiltonian formulation
• Use simulators (and optionally real IBMQ backends) to test and run solutions
• Format the results for easy API integration and return
• Document all logic for handoff to the API/backend team

✅ Requirements

• Proven experience with Qiskit and quantum circuit design
• Familiarity with QAOA, Ising models, or VQE algorithms
• Ability to debug and test quantum jobs on simulators and live backends
• Strong Python skills and basic experience with NumPy/Pandas

🧩 Bonus (Not Required)

• Prior work on finance-related quantum problems
• Experience with IBM Quantum Experience job submission and token setup