Job Description
Join the quantum revolution at Nexus Quantum Labs as we pioneer the next frontier of computing. We're seeking a visionary Quantum Computing Research Scientist to architect breakthrough solutions for 2026 and beyond. In this role, you'll collaborate with Nobel Prize-winning physicists and AI pioneers to develop scalable quantum systems that will redefine industries from healthcare to climate modeling.
Your Impact: Lead transformative research in quantum algorithms, error correction, and hybrid quantum-classical architectures. Work in our state-of-the-art facility equipped with the world's most advanced quantum processors and collaborate with cross-functional teams including cryptographers, materials scientists, and machine learning engineers. Shape the future of technology while enjoying unparalleled resources including access to our quantum cloud platform and $2M annual research budget.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop quantum error correction protocols to achieve fault-tolerant quantum computing
- Lead interdisciplinary R&D projects bridging quantum physics, AI, and materials science
- Publish high-impact research in Nature/Science journals and present at IEEE Quantum Week
- Architect hybrid quantum-classical computing frameworks for real-world deployment
- Mentor junior researchers and contribute to quantum computing open-source initiatives
- Collaborate with industry partners to prototype quantum solutions for 2026 use cases
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
- Expertise in quantum algorithms, quantum information theory, and quantum error correction
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and high-performance computing
- Track record of publications in top-tier quantum computing journals/conferences
- Deep understanding of quantum hardware architectures (superconducting, trapped ion, photonic)
- Experience with machine learning frameworks and classical-quantum hybrid systems
- Strong analytical skills with ability to translate complex quantum concepts into practical applications