Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking visionary researchers to decode quantum computing's potential in machine learning, cryptography, and computational modeling. Our cross-disciplinary team operates in state-of-the-art labs where theoretical physics meets practical AI innovation.
You'll collaborate with Nobel laureates and industry disruptors to develop quantum neural networks that could redefine artificial intelligence paradigms. This role offers unparalleled opportunities to publish breakthrough research, patent novel algorithms, and shape the next generation of computational technology.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional R&D teams in quantum hardware-software integration
- Develop cryptographic protocols resistant to quantum decryption threats
- Author whitepapers and peer-reviewed publications on quantum-AI convergence
- Secure $1M+ in research grants for experimental quantum computing projects
- Advise C-suite on quantum technology adoption roadmaps
- Mentor postdoctoral researchers in quantum algorithm development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq)
- Published research in Nature/Science or top-tier AI conferences
- Expertise in quantum error correction and fault-tolerant architectures
- Strong background in deep learning frameworks (PyTorch/TensorFlow)
- Proven track record of securing research funding
- Experience with superconducting qubit platforms or trapped-ion systems