Job Description
Join Nexus Dynamics at the forefront of 2026's quantum-AI revolution. We're pioneering autonomous quantum systems that redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen neural networks operating in quantum states, collaborate with Nobel laureates, and shape technologies that will power humanity's next evolutionary leap. Our Austin innovation hub offers unparalleled resources, including access to quantum annealing arrays and exascale computing clusters.
We're seeking visionaries who thrive at the intersection of quantum mechanics and machine intelligence. If you're passionate about solving problems once deemed impossible and want to leave an indelible mark on technological history, this is your calling.
Responsibilities
- Design and implement hybrid quantum-classical neural architectures for unsupervised learning
- Develop quantum error correction protocols for fault-tolerant AI systems
- Create novel optimization algorithms leveraging quantum entanglement for real-time decision-making
- Lead cross-disciplinary research teams in quantum cryptography and AI ethics
- Translate theoretical quantum computing models into deployable AI solutions
- Collaborate with hardware teams to co-design quantum-AI accelerator chips
- Publish breakthrough research in Nature Physics and IEEE Quantum journals
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Neuroscience
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in quantum machine learning or quantum information theory
- Mastery of tensor networks and quantum circuit optimization techniques
- Expertise in Python/C++ with quantum simulation libraries (Q#, Qutip)
- Deep understanding of quantum decoherence mitigation strategies
- Proven track record of translating theoretical models to experimental validation