Job Description
Join Nexus Quantum Labs at the frontier of computational innovation. We're pioneering the next generation of quantum-AI hybrid systems to solve humanity's most complex challenges by 2026. As a Quantum AI Research Engineer, you'll architect breakthrough algorithms that redefine machine learning paradigms while operating our cutting-edge 1000-qubit quantum processors. This role offers unparalleled opportunity to shape the technological landscape of tomorrow.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world optimization problems
- Develop error-correction protocols for fault-tolerant quantum computing systems
- Collaborate with cross-disciplinary teams to deploy quantum-AI solutions in finance and healthcare
- Lead research on quantum neural network architectures and hybrid classical-quantum workflows
- Author peer-reviewed publications and patents in quantum machine learning
- Optimize quantum circuits for NISQ-era hardware limitations
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience considered)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Strong background in machine learning frameworks (PyTorch/TensorFlow)
- Published research in quantum machine learning or related fields
- Experience with quantum hardware interfaces (IBM Quantum, Rigetti, etc.)
- Demonstrated ability to translate complex quantum concepts into practical applications