Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum Computing Research Scientist to pioneer breakthroughs in quantum algorithms, error correction, and hardware optimization. Our multidisciplinary team operates at the intersection of physics, computer science, and artificial intelligence, developing quantum solutions that will redefine computational boundaries. This role offers unparalleled access to cutting-edge quantum processors and collaborative partnerships with leading academic institutions. If you're passionate about solving humanity's most complex challenges through quantum innovation, this is your opportunity to shape the future.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and cryptography applications
- Develop error mitigation protocols and quantum error correction codes to enhance qubit fidelity
- Collaborate with hardware engineers to optimize quantum processor architectures and gate operations
- Lead cross-functional research projects exploring quantum machine learning and hybrid quantum-classical systems
- Publish breakthrough research in peer-reviewed journals and present findings at international conferences
- Secure external research funding through NSF, DOE, and industry partnerships
- Mentor junior researchers and contribute to quantum education initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Proven expertise in quantum error correction and fault-tolerant quantum computing
- Strong background in quantum information theory and many-body quantum systems
- Publication record in top-tier quantum computing or physics journals
- Experience with superconducting qubits, trapped ions, or photonic quantum systems
- Ability to translate theoretical concepts into experimental implementations
- Excellent communication skills for technical and non-technical audiences