Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms in a cutting-edge lab environment where innovation meets impact. Our team operates at the intersection of theoretical physics and machine learning, pushing boundaries in cryptography, optimization, and computational modeling.
We offer unparalleled resources including access to 128-qubit processors, dedicated research clusters, and a culture where curiosity fuels progress. If you're driven to transform abstract concepts into tangible solutions that will shape the next decade, this is your moment to make history.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Develop novel error-correction techniques for fault-tolerant quantum computation
- Collaborate with cross-functional teams to integrate quantum solutions into commercial products
- Publish groundbreaking research in top-tier scientific journals and conferences
- Mentor junior researchers and contribute to our open-source quantum AI framework
- Secure competitive research funding through grant proposals and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Strong understanding of quantum mechanics principles and quantum circuit design
- Demonstrated ability to translate theoretical concepts into practical implementations
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Track record of innovative problem-solving in complex technical domains