Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking a Quantum AI Research Engineer to pioneer the next generation of computational intelligence. In this role, you'll design and implement hybrid quantum-classical machine learning systems that solve previously unsolvable problems across healthcare, logistics, and materials science.
Our cutting-edge lab operates at the intersection of quantum physics and artificial intelligence, offering unparalleled resources to transform theoretical breakthroughs into real-world applications. You'll collaborate with Nobel laureates and industry disruptors in an environment that values bold experimentation and rapid iteration.
Responsibilities
- Develop novel quantum algorithms for machine learning optimization
- Design hybrid quantum-neural network architectures for complex problem-solving
- Lead experimental validation of quantum AI systems using superconducting qubits
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and foster cross-disciplinary collaboration
- Translate theoretical quantum computing concepts into scalable solutions
- Secure patents for proprietary quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or related fields
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and fault tolerance
- Experience with quantum hardware platforms (IBM Quantum, Rigetti)
- Strong track record of translating theory into practical implementations