Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-AI fusion systems that will redefine computing by 2026. We're seeking visionary research scientists to architect next-gen algorithms that bridge quantum mechanics and machine learning. Our Austin hub offers unparalleled resourcesâincluding a 500-qubit quantum simulator and GPU-accelerated neural networksâto accelerate your breakthroughs. You'll collaborate with Nobel laureates and Silicon Valley veterans in an environment where curiosity fuels innovation.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for optimization problems
- Lead cross-functional R&D teams to prototype quantum neural networks
- Develop error-correction protocols for quantum machine learning models
- Publish peer-reviewed research in Nature/Science journals
- Secure $2M+ in federal research grants for quantum initiatives
- Mentor PhD researchers and patent 3+ novel quantum methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years of quantum algorithm development experience
- Proficiency with Qiskit, TensorFlow Quantum, and Cirq frameworks
- Published research in top-tier quantum/AI conferences
- Expertise in tensor networks and quantum circuit optimization
- Strong background in quantum error correction techniques
- Track record of securing DoE or NSF grants