Job Description
Join Nexus Dynamics at the vanguard of 2026's technological revolution. We're seeking visionary Quantum AI Research Scientists to architect the next generation of intelligent systems. In this pivotal role, you'll pioneer hybrid quantum-classical algorithms, develop fault-tolerant neural networks, and collaborate with Nobel laureates to solve humanity's most complex challenges. Our Austin R&D hub offers state-of-the-art quantum processors and unparalleled resources to transform theoretical breakthroughs into real-world solutions.
We provide competitive equity packages, flexible remote work options, and access to our exclusive 'FutureLab' incubator where your innovations could redefine entire industries. If you're ready to build the computational paradigm of tomorrow, apply today.
Responsibilities
- Design and implement novel quantum machine learning frameworks for predictive analytics
- Develop error-corrected quantum neural networks with >99.9% fidelity
- Lead cross-functional teams in deploying quantum-optimized solutions for finance, healthcare, and logistics
- Author breakthrough research published in Nature/Science journals
- Architect hybrid quantum-classical computing architectures for exponential speedups
- Collaborate with quantum hardware teams to co-design next-generation processors
- Mentor PhD researchers and publish 3+ patents annually
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics with 5+ years research experience
- Expertise in quantum algorithms (QAOA, VQE, QML) and quantum error correction
- Proficiency with quantum frameworks: Qiskit, Cirq, Q# and classical ML: TensorFlow, PyTorch
- Publication record in top-tier quantum computing or AI conferences (QIP, NeurIPS)
- Deep understanding of tensor networks and quantum simulation methodologies
- Experience with superconducting qubits or trapped-ion systems
- Strong track record of translating research into commercial applications