Job Description
Are you ready to define the next era of artificial intelligence? Chronos Dynamics is seeking a visionary Senior Quantum AI Architect to spearhead Project 2026. This is not just a job; it is an opportunity to solve humanity's most complex computational problems.
We are building a hybrid classical-quantum ecosystem designed to outperform traditional silicon-based systems by 2026. As a key member of our elite R&D team, you will bridge the gap between abstract quantum physics and practical, deployable machine learning applications.
Why join Project 2026?
- Work on cutting-edge technology that will redefine computing capabilities.
- Competitive compensation package and equity options.
- Flexible remote-first culture with state-of-the-art NYC office access.
- Collaborate with world-class researchers and engineers.
Responsibilities
- Architect and optimize quantum algorithms for complex machine learning models, ensuring fault tolerance and scalability.
- Collaborate closely with hardware engineering teams to design and implement quantum error correction protocols.
- Lead the technical strategy for Project 2026, translating high-level research goals into actionable development roadmaps.
- Mentor junior researchers and foster a culture of continuous innovation within the quantum team.
- Translate theoretical physics research into production-ready software solutions using modern cloud frameworks.
- Conduct rigorous performance benchmarking against classical AI systems to validate superiority.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related quantitative field.
- Proven experience with quantum computing frameworks (Qiskit, Cirq, PyQuil, or Amazon Braket).
- Deep expertise in Deep Learning, Neural Networks, and frameworks such as TensorFlow or PyTorch.
- Strong proficiency in Python, CUDA, and cloud infrastructure (AWS, GCP, or Azure).
- Experience in leading high-performance technical teams and cross-functional projects.
- Demonstrated ability to think abstractly and solve unstructured problems.