Quantum Characterization, Verification, and Validation Engineer

Originally posted 3 November 2026 by the employer.

About the role

PsiQuantum is seeking an engineer to develop methods for quantum characterization, verification, and validation (QCVV) of large-scale quantum systems. The role focuses on developing scalable protocols, statistical analysis techniques, and simulation methods to characterize quantum channels and system-level behavior on a photonic quantum computing platform.

What you'll do

• Develop scalable QCVV methods for characterizing large quantum systems, quantum channels, and system-level quantum behavior.
• Develop statistical and numerical methods for extracting meaningful performance information from limited, noisy, and indirect measurement data.
• Build models connecting observed experimental data to underlying quantum channels, error mechanisms, and system-level performance metrics.
• Use large-scale quantum circuit simulation to evaluate characterization protocols, diagnose failure modes, and understand noisy quantum channel behavior.
• Collaborate with experimental, architecture, software, and systems teams to compare measured system behavior against theoretical and numerical models.

What you'll need

• Ph.D. or equivalent experience in Physics, Electrical Engineering, Applied Mathematics, Computer Science, or a related field.
• Experience characterizing or modeling quantum channels, noisy quantum circuits, quantum processes, or quantum error mechanisms.
• Experience developing numerical simulations for quantum systems, quantum circuits, or noisy quantum processes.
• Programming experience for scientific computing and data analysis, preferably in Python.
• Demonstrated ability to reason quantitatively about uncertainty, noise, finite statistics, model mismatch, and scalability.

Nice to have

• Experience with QCVV techniques such as randomized benchmarking, gate set tomography, cycle benchmarking, process tomography, shadow tomography, Hamiltonian learning, or related methods.
• Experience with scalable characterization methods for systems where full state or process reconstruction is not possible.
• Experience with tensor network methods for simulating quantum circuits, quantum channels, or noisy quantum processes.
• Experience running large-scale simulations on GPUs, HPC clusters, or distributed computing infrastructure.
• Experience with simulation tools and frameworks such as PyTorch, JAX, TensorFlow, CUDA, CuPy, NumPy/SciPy, ITensor, Stim, or related tools.
• Familiarity with quantum error correction, fault tolerance, logical error rates, decoder performance, Pauli errors, erasure errors, leakage, or correlated noise.
• Experience analyzing data from experimental quantum hardware platforms.
• Experience with photonic quantum computing, quantum optics, integrated photonics, measurement-based quantum computation, fusion-based quantum computation, or cluster-state models.

Skills: QCVV, quantum characterization, quantum simulation, tensor networks, quantum circuits

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