Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems. We're seeking a visionary Quantum AI Research Engineer to develop next-gen computational frameworks that will redefine industry standards. This role offers unparalleled opportunity to shape the future of human-machine collaboration in our state-of-the-art Austin R&D center.
What You'll Achieve:
• Architect quantum neural networks for real-world problem-solving
• Lead cross-functional teams in prototyping AI-quantum interfaces
• Publish groundbreaking research in top-tier journals/conferences
• Secure patents in quantum machine learning methodologies
Responsibilities
- Design and implement quantum algorithms for AI optimization
- Develop hybrid quantum-classical computing architectures
- Lead 5+ cross-functional R&D projects simultaneously
- Collaborate with MIT/Stanford research partners on 2026 tech roadmaps
- Secure $2M+ in government/private research grants
- Mentor PhD candidates in quantum-AI convergence fields
- Present findings at Davos/TED-style future-tech forums
Qualifications
- PhD in Quantum Computing/Physics/AI (or equivalent publications)
- 5+ years in quantum algorithm development
- Published 15+ peer-reviewed papers in Nature/Science journals
- Expertise in Qiskit, Cirq, and D-Wave systems
- Proven track record of securing DARPA/NASA grants
- Proficiency in tensor network simulations
- Fluency in Rust/Python for high-performance quantum stacks
- Experience with quantum error correction protocols