Job Description
We are not just predicting the future; we are architecting it.
Chronos Nexus is pioneering the next generation of computing interfaces for the year 2026 and beyond. We are looking for a visionary Senior Quantum AI Architect to lead our R&D division in San Francisco.
In this role, you will bridge the gap between theoretical quantum physics and practical artificial intelligence applications. You will be responsible for designing scalable quantum algorithms that power our autonomous neural networks.
Why join us? You will work with a team of world-class engineers and scientists in a state-of-the-art facility. We offer competitive equity packages, flexible remote/hybrid options, and the opportunity to define the technological landscape of the coming decade.
Chronos Nexus is pioneering the next generation of computing interfaces for the year 2026 and beyond. We are looking for a visionary Senior Quantum AI Architect to lead our R&D division in San Francisco.
In this role, you will bridge the gap between theoretical quantum physics and practical artificial intelligence applications. You will be responsible for designing scalable quantum algorithms that power our autonomous neural networks.
Why join us? You will work with a team of world-class engineers and scientists in a state-of-the-art facility. We offer competitive equity packages, flexible remote/hybrid options, and the opportunity to define the technological landscape of the coming decade.
Responsibilities
- Architect and deploy scalable quantum machine learning models for real-time data processing.
- Lead a cross-functional team of quantum physicists and software engineers to push the boundaries of current technology.
- Conduct in-depth research into quantum error correction and noise mitigation strategies.
- Collaborate with product managers to translate complex technical concepts into user-friendly interfaces.
- Optimize algorithms to achieve sub-nanosecond latency in high-stakes environments.
- Mentor junior developers and conduct technical workshops on quantum programming.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, or a related quantitative field.
- 5+ years of experience in software engineering, with a strong focus on AI/ML and distributed systems.
- Proficiency in Python, C++, and quantum computing languages (Qiskit, Cirq, or Q#).
- Deep understanding of neural networks, tensor calculus, and linear algebra.
- Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
- Excellent communication skills with the ability to articulate complex technical ideas to non-technical stakeholders.