Job Description
Join the Vanguard of the 2026 Era.
Chronos Systems is pioneering the next generation of computational intelligence. We are seeking a visionary Senior Quantum AI Architect to bridge the gap between classical silicon supremacy and the quantum frontier. In this pivotal role, you will architect the neural architectures that will define the technological landscape of 2026 and beyond.
About the Role
You will lead the research and development of hybrid quantum-classical machine learning models. We are not just looking for a coder; we are looking for a technologist who can anticipate the trajectory of computation and build the infrastructure to support it. You will work directly with our R&D division to deploy scalable algorithms on emerging quantum processing units (QPUs).
Why Join Us?
- Work on high-impact, future-defining projects.
- Competitive compensation package including equity.
- Flexible remote-first policy with a hub in San Francisco.
- Access to cutting-edge quantum hardware and cloud resources.
Responsibilities
- Algorithm Design: Design, implement, and optimize quantum algorithms for complex problem-solving in machine learning and optimization.
- Hybrid Model Development: Create seamless integration layers between classical AI frameworks (TensorFlow, PyTorch) and quantum computing environments (Qiskit, Cirq).
- R&D Leadership: Conduct research on emerging quantum hardware capabilities and adapt architectural strategies accordingly.
- System Integration: Collaborate with software engineers to integrate quantum solutions into scalable, production-grade cloud infrastructures.
- Mentorship: Lead a team of junior architects and data scientists, fostering a culture of innovation and technical excellence.
- Technical Roadmap: Define the long-term technical vision and roadmap for the Quantum AI division.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Physics, Applied Mathematics, or a related field.
- Experience: 5+ years of professional experience in AI/ML, with a strong portfolio demonstrating advanced algorithm implementation.
- Quantum Expertise: Proven experience with quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
- Programming: Advanced proficiency in Python, C++, or Rust, with a deep understanding of data structures and parallel computing.
- Mathematical Foundation: Strong grasp of linear algebra, probability theory, and quantum mechanics concepts.
- Leadership: Demonstrated ability to lead technical teams and drive cross-functional projects from conception to deployment.