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Lead Quantum System Architect (2026 Focus)

Chronos Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join the Post-Silicon Revolution

Chronos Dynamics is at the forefront of the computing paradigm shift. As we approach the 2026 era of commercial quantum supremacy, we are seeking a visionary Lead Quantum System Architect to define the software layers that will power the next generation of intelligent infrastructure.

In this role, you will bridge the gap between theoretical physics and practical application, ensuring our quantum processors deliver reliable, scalable results for enterprise-level AI and cryptography challenges. You will lead a team of engineers in developing error correction protocols and optimizing qubit coherence.

Why Join Us?

  • Work on cutting-edge technology that will define the 2026 landscape.
  • Competitive equity package and flexible remote-first policies.
  • Access to the latest quantum hardware prototypes.

Responsibilities

  • Design and architect fault-tolerant quantum error correction codes tailored for superconducting and trapped-ion hardware.
  • Develop high-level compilers and software stacks (QASM, Cirq, Qiskit) to translate classical algorithms into quantum logic.
  • Collaborate with hardware teams to optimize qubit connectivity and reduce decoherence during computation.
  • Lead the technical roadmap for quantum simulation tools used by internal R&D and external partners.
  • Implement quantum machine learning models to predict hardware performance and stability.
  • Mentor junior quantum engineers and foster a culture of innovation and rigorous testing.

Qualifications

  • Ph.D. in Quantum Physics, Computer Science, Mathematics, or a related field.
  • 5+ years of experience in quantum computing research or software development.
  • Proficiency in Python, C++, and CUDA for high-performance computing.
  • Deep understanding of quantum algorithms (Grover, Shor, VQE, QAOA) and their practical implementation.
  • Experience with quantum simulators and cloud-based quantum platforms (IBM Quantum Experience, Amazon Braket).
  • Strong background in linear algebra and probability theory.

Required Skills

Quantum Computing Qiskit Cirq Python C++ Error Correction Quantum Algorithms Machine Learning Physics Linear Algebra

Ready to Take This Challenge?

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