Job Description
Join the frontier of technological innovation at Nexus Quantum Systems! We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs in 2026's most transformative field. Shape the future of human-machine collaboration as you develop hybrid quantum-classical intelligence systems that solve previously unsolvable problems. Our state-of-the-art lab offers unparalleled resources to accelerate your research while collaborating with Nobel laureates and industry pioneers.
This role offers competitive equity packages, flexible hybrid work arrangements, and dedicated R&D funding for your experimental projects. Be at the forefront of the quantum revolution and contribute to technologies that will redefine industries.
Responsibilities
- Design and implement novel quantum machine learning algorithms for real-world applications
- Lead research initiatives in quantum neural networks and quantum-enhanced optimization
- Develop hybrid quantum-classical computing frameworks for enterprise deployment
- Collaborate with quantum hardware teams to bridge theoretical models with physical implementations
- Publish groundbreaking research in top-tier journals and conferences
- Secure funding through competitive government and private research grants
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Computing, Machine Learning, Physics, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Deep expertise in quantum algorithms and quantum error correction techniques
- Proven track record of publishing in quantum computing or AI research
- Strong proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical applications