Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum-AI hybrid systems. Our cross-disciplinary team is developing breakthrough algorithms that will redefine computational boundaries by 2026. This role offers unparalleled opportunities to shape the future of machine learning through quantum-enhanced neural networks.
We provide state-of-the-art facilities, flexible hybrid work arrangements, and competitive equity packages. As a key contributor, you'll collaborate with Nobel laureates and industry pioneers while publishing groundbreaking research in top-tier journals.
Responsibilities
- Design and implement quantum-classical hybrid algorithms for next-gen AI models
- Lead research initiatives in quantum machine learning optimization
- Develop fault-tolerant quantum computing protocols for real-world applications
- Collaborate with hardware engineers to prototype quantum-AI accelerators
- Secure $5M+ in federal and private research grants
- Mentor postdoctoral researchers and PhD candidates
- Author 4+ peer-reviewed publications annually
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development
- Published work in Nature/Science or top-tier quantum computing conferences
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Strong background in machine learning and neural networks
- Experience with high-performance computing environments
- Proven track record of securing research funding
- US citizenship or permanent residency required