Job Description
Join Nexus Dynamics at the forefront of 2026's quantum-AI revolution. We're pioneering next-generation autonomous systems that will redefine human-machine interaction. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms merging quantum computing with neural networks to solve previously unsolvable computational challenges. Our Austin R&D hub offers unparalleled resources including a 128-qubit quantum processor and NVIDIA's latest H100 GPU clusters. Collaborate with Nobel laureates and industry disruptors to develop patent-pending technologies that will power the next decade's innovation.
Responsibilities
- Design and implement quantum machine learning algorithms for predictive modeling
- Lead cross-functional teams in prototyping hybrid quantum-classical neural networks
- Develop error-correction protocols for quantum computing architectures
- Conduct peer-reviewed research on quantum supremacy applications
- Translate theoretical models into scalable production-ready systems
- Secure federal and private funding for quantum-AI initiatives
- Mentor PhD candidates in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in Nature/Science on quantum algorithms
- Proficiency in high-performance computing environments
- Expertise in tensor networks and quantum error correction
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Demonstrated ability to secure research grants exceeding $1M
- Patent portfolio in quantum or AI systems preferred