Jabroyd

JABROYD — Quantum Algorithm Engineer Mission Join Jabroyd, the world’s frontier in quantum computing technology, to design and implement quantum algorithms that power the next era of Artificial Superintelligence (ASI). Your work will bridge quantum and AI cognition — transforming raw qubits into autonomous intelligence. Key Responsibilities • Design & Implement Quantum Algorithms: Develop optimization, simulation, invent new algorithms and inference algorithms tuned for photonic QPUs. • Quantum-Classical Hybrid Frameworks: Build hybrid workflows integrating QAOA, VQE, QSVT, and amplitude-estimation routines with classical ML models. • Simulation & Benchmarking: custom simulators to benchmark algorithm performance under realistic noise models. • Quantum Error Correction Integration: Collaborate with QEC engineers to map algorithms onto logical qubits (surface, XZZX, LDPC). • Photonic Network Optimization: Design entanglement-routing algorithms and cluster-state compilers for NV-photon architectures. • Algorithm Resource Estimation: Evaluate logical qubit counts, gate depths, and photon budgets per workload. • Cross-Team Collaboration: Work closely with hardware, photonic architecture teams to co-optimize software–hardware stacks. Preferred Background • PhD / Master’s in Quantum Computing, Applied Physics, or Quantum Information Science. • Strong foundation in quantum algorithm theory and tensor-network or variational methods. • Hands-on with quantum SDKs (Qiskit, PennyLane, Cirq, etc.). • Familiarity with machine learning frameworks (PyTorch, TensorFlow, JAX). • Knowledge of error correction, photonic networking. • Experience designing scalable or hybrid quantum-AI workflows preferred. Key Skills • Quantum algorithms (VQE, QAOA, AE, QLS, QSVT) • Quantum error correction & resource estimation • Photonic network / MBQC understanding • Python, C++, CUDA / quantum SDKs • Strong analytical & theoretical grounding • Creativity and curiosity for AGI/ASI frontiers