Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen systems merging quantum computing with neural networks, pushing the boundaries of computational possibility. Our Austin innovation hub offers unparalleled resources to transform theoretical breakthroughs into scalable solutions.
What you'll achieve:
- Design hybrid quantum-classical AI frameworks
- Develop error-correction algorithms for quantum neural networks
- Lead cross-disciplinary research teams
- Secure patents in quantum machine learning
Responsibilities
- Architect quantum-AI hybrid computing systems
- Implement quantum algorithms for neural network acceleration
- Develop error-correction protocols for quantum neural networks
- Lead research on quantum-entangled deep learning models
- Collaborate with materials scientists to optimize quantum hardware
- Translate theoretical research into production-ready systems
- Secure funding through DARPA/NSF grant proposals
Qualifications
- PhD in Quantum Computing, AI, or Physics
- 3+ years experience with quantum programming languages (Q#, Qiskit)
- Expertise in tensor networks and quantum machine learning
- Published research in quantum computing or AI journals
- Proficiency with high-performance computing frameworks
- Experience with quantum hardware (IBM Quantum, Rigetti)
- Strong background in complex system architecture
- Track record of converting research into patents