Job Description
We are Chronos 2026, a forward-thinking research organization pioneering the technological infrastructure for the future. We are seeking a visionary Lead Quantum AI Architect to spearhead the development of next-generation adaptive intelligence systems.
In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical machine learning applications. You will be responsible for designing scalable architectures that will power the computing needs of the year 2026 and beyond. This is an opportunity to work at the bleeding edge of technology in a high-performance, elite environment.
Why Join Chronos 2026?
- Work on the forefront of Quantum-Classical computing integration.
- Competitive equity package and 401(k) matching.
- Flexible remote-first policy with access to state-of-the-art labs in San Francisco.
- Professional development budget for conferences and courses.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for complex optimization problems.
- Lead the architectural roadmap for the 2026 neural network suite, ensuring scalability and fault tolerance.
- Collaborate closely with hardware engineering teams to optimize software for emerging quantum processors.
- Conduct rigorous code reviews and mentor a team of senior engineers and researchers.
- Define technical standards and best practices for AI deployment on quantum hardware.
- Translate complex theoretical research into production-ready software solutions.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI research.
- Hands-on experience with quantum computing frameworks (Qiskit, Cirq, PyQuil, or PennyLane).
- Proficiency in Python, C++, and CUDA programming.
- Strong foundation in linear algebra, probability theory, and statistical mechanics.
- Demonstrated ability to lead technical teams and manage cross-functional projects.