Job Description
Shape the future of 2026 by pioneering quantum-AI integration at Nexus Quantum Dynamics. We're seeking a visionary Quantum AI Research Engineer to develop revolutionary algorithms that bridge quantum computing and artificial intelligence. Join our elite team in Austin, Texas, where you'll work with cutting-edge quantum processors and neural networks to solve problems once deemed impossible. This role offers unparalleled opportunities to publish breakthrough research and contribute to technologies that will redefine industries.
Our state-of-the-art lab provides access to quantum annealers, photonic processors, and a collaborative environment where your ideas become reality. We offer competitive equity packages, flexible work arrangements, and continuous learning stipends to ensure you stay at the forefront of quantum-AI innovation.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical neural network architectures
- Conduct quantum error mitigation protocols for AI training pipelines
- Collaborate with hardware teams to optimize quantum-AI interfaces
- Lead cross-functional projects on quantum cryptography applications
- Publish peer-reviewed research in top-tier journals/conferences
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch/TensorFlow)
- Strong background in quantum information theory
- Proven ability to translate complex quantum concepts into practical solutions
- Experience with high-performance computing environments
- Published research in quantum computing or AI
- Strong problem-solving skills and innovative mindset