Job Description
Join Nexus Dynamics at the forefront of quantum-AI convergence to shape 2026's technological landscape. We're pioneering hybrid quantum-neural systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll develop novel algorithms merging quantum computing with machine learning, pushing the limits of what's possible in drug discovery, climate modeling, and cryptography.
This role offers unparalleled resources: access to IBM Quantum systems, NVIDIA's latest GPU clusters, and a cross-disciplinary team of Nobel laureates and Turing Award winners. Your work will directly influence breakthroughs solving humanity's most complex challenges.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead research on quantum-classical hybrid computing architectures
- Develop novel error correction protocols for quantum neural networks
- Collaborate with hardware teams to optimize quantum-AI integration
- Publish findings in top-tier journals and present at IEEE/ACM conferences
- Secure $2M+ in annual research grants from NSF and DARPA
- Mentor PhD candidates in quantum machine learning specialization
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq)
- Published research in quantum machine learning or quantum information theory
- Expertise in TensorFlow/PyTorch with quantum circuit integration
- Strong background in linear algebra, probability, and statistical physics
- Experience with high-performance computing clusters
- Proven ability to secure government research funding
- Track record of translating theoretical concepts to experimental prototypes