Job Description
At Chronos Future Systems, we are not just predicting the future; we are engineering it. As we approach the pivotal year of 2026, our mission is to integrate quantum computing with artificial intelligence to solve problems previously thought impossible. We are seeking a visionary Quantum AI Research Scientist to lead our elite R&D division in San Francisco. This is a high-impact role for a candidate ready to define the next decade of technology and build the systems that will power the world in 2026 and beyond.
Responsibilities
- Lead the research and development of hybrid Quantum Neural Networks (QNNs) optimized for 2026 computational standards.
- Architect scalable AI models that leverage quantum hardware to achieve exponential speedups in data processing.
- Collaborate with cross-functional engineering teams to integrate quantum APIs into consumer-facing applications.
- Publish cutting-edge research papers and present findings at top-tier global conferences.
- Mentor junior researchers and foster a culture of innovation and rapid prototyping.
- Oversee the deployment of quantum algorithms on cloud-based quantum processors (e.g., IBM Quantum, Rigetti).
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Mechanics or Artificial Intelligence.
- Minimum of 5 years of experience in AI/ML research, with a strong portfolio demonstrating expertise in deep learning frameworks.
- Proficiency in programming languages such as Python, C++, and CUDA.
- Experience with quantum computing libraries (Qiskit, Cirq, or PyQuil).
- Demonstrated ability to work in a fast-paced, high-stakes research environment.
- Strong communication skills with the ability to translate complex technical concepts for diverse stakeholders.