Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll develop next-gen algorithms merging quantum computing with machine learning for breakthrough applications in cryptography, materials science, and climate modeling. Work in our state-of-the-art facility with cutting-edge quantum processors and collaborate with Nobel laureates and industry disruptors. This role offers unparalleled opportunities to shape humanity's technological future while enjoying competitive compensation and comprehensive benefits.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead research on quantum neural networks and hybrid quantum-classical systems
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish breakthrough research in top-tier journals and industry conferences
- Develop patentable quantum AI methodologies for commercial applications
- Mentor junior researchers and drive cross-functional innovation projects
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum algorithms (QAOA, VQE, Grover's variants)
- Expertise in Python/C++ with quantum libraries (Qiskit, Cirq, PennyLane)
- Publication record in quantum machine learning or quantum information theory
- Strong background in deep learning frameworks (PyTorch/TensorFlow)
- Demonstrated ability to translate theoretical concepts into practical implementations
- Passion for solving 2026's most complex computational problems