Job Description
Join Nexus Quantum Dynamics at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence for 2026 and beyond. We're seeking visionary Quantum AI Research Engineers to architect next-generation systems that will redefine computational boundaries. Our Austin-based innovation hub offers unparalleled resources to transform theoretical breakthroughs into practical applications.
As a key member of our Quantum AI Division, you'll collaborate with Nobel laureates and industry pioneers in an environment that encourages bold experimentation and intellectual curiosity. We offer competitive equity packages, flexible work arrangements, and dedicated quantum lab access. This role represents a rare opportunity to shape the technological landscape of the coming decade.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Develop hybrid quantum-classical AI frameworks for real-world applications
- Lead research initiatives in quantum neural networks and quantum-enhanced NLP
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish breakthrough research in top-tier quantum computing journals
- Mentor junior researchers in quantum AI methodologies
- Secure external funding through NSF and DARPA grant proposals
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum information
- Experience with quantum hardware simulators and real quantum processors
- Demonstrated ability to translate complex theoretical concepts into practical solutions