Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. This groundbreaking 2026 initiative seeks a visionary researcher to architect scalable quantum neural networks and develop fault-tolerant algorithms for real-world applications. Collaborate with Nobel laureates in our Austin innovation hub, where we're building the computational infrastructure for humanity's next leap forward.
Responsibilities
- Design and implement quantum machine learning frameworks for 2026-era applications
- Lead cross-functional teams to integrate quantum processors with classical AI systems
- Develop novel error-correction protocols for quantum neural networks
- Secure $10M+ in research grants through white papers and technical proposals
- Author peer-reviewed publications in Nature Quantum Information
- Mentor postdoctoral fellows in quantum algorithm optimization
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (2020-2026)
- 3+ years of hands-on experience with Qiskit, Cirq, or similar quantum frameworks
- Published research in top-tier quantum/AI journals (arXiv:2100.0000+)
- Proficiency in tensor networks and quantum circuit optimization
- Expertise in NISQ-era hardware limitations and mitigation strategies
- Track record of securing federal research grants (NSF/DOE)