Job Description
Join the forefront of technological evolution as a 2026 Quantum AI Researcher at Nexus Future Labs. We're pioneering the next generation of computational intelligence through quantum machine learning and neural-quantum interfaces. This role offers unparalleled opportunity to shape humanity's technological trajectory while working in our state-of-the-art Austin research facility.
You'll lead breakthrough projects in quantum neural networks, develop hybrid AI-quantum algorithms, and collaborate with Nobel laureates on revolutionary applications. Our team operates at the intersection of physics, computer science, and cognitive engineering – where tomorrow's innovations become today's reality.
Responsibilities
- Design and implement quantum machine learning models for 2026-era applications
- Lead cross-disciplinary research teams in quantum-AI integration projects
- Develop proprietary neural-quantum interfaces for next-gen computing systems
- Author breakthrough research papers for Nature/Science journals
- Architect scalable quantum-AI frameworks for enterprise deployment
- Collaborate with hardware teams on quantum chip optimization
- Present findings at global tech summits and patent innovations
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (exceptional MS candidates with 8+ years experience considered)
- Published research in quantum machine learning or AI-quantum hybrid systems
- Proficiency in Qiskit, Cirq, and quantum circuit optimization frameworks
- Expertise in tensor networks and quantum neural network architectures
- Demonstrated experience with high-performance computing environments
- Strong background in computational complexity theory
- Track record of securing research grants or venture funding
- Patents or peer-reviewed publications in quantum/AI fields