Job Description
We are seeking a visionary Quantum AI Architect to lead our cutting-edge research division. In this pivotal role, you will be at the intersection of quantum mechanics and artificial intelligence, designing algorithms that will define the technological landscape of 2026 and beyond. If you are passionate about solving the world's most complex problems with next-generation technology, we want to hear from you.
Why Join Us?
- Work with a world-class team of physicists and data scientists.
- Access to state-of-the-art quantum hardware.
- Competitive benefits and equity package.
Role Overview:
As a Quantum AI Architect, you will bridge the gap between theoretical quantum computing and practical AI applications. You will be responsible for designing scalable architectures that leverage quantum supremacy to solve classical computing bottlenecks.
Responsibilities
- Architect and design hybrid quantum-classical machine learning models tailored for NISQ (Noisy Intermediate-Scale Quantum) devices.
- Optimize existing deep learning algorithms to maximize performance on emerging quantum processors.
- Lead technical strategy for high-stakes quantum integration projects.
- Mentor and guide a team of junior researchers and developers in quantum software engineering.
- Stay abreast of the latest academic research in quantum computing and publish findings.
Qualifications
- PhD or Master's degree in Computer Science, Physics, Applied Mathematics, or a related quantitative field.
- 5+ years of experience in machine learning, deep learning frameworks (TensorFlow, PyTorch), and data pipelines.
- Hands-on experience with quantum computing SDKs (Qiskit, Cirq, or Pennylane).
- Proficiency in Python, C++, and quantum circuit simulation tools.
- Strong problem-solving skills and ability to thrive in a fast-paced, experimental environment.