Job Description
Join Nexus Quantum Labs at the forefront of computational revolution! We're seeking a visionary Quantum Computing Research Scientist to architect the next generation of quantum algorithms that will redefine 2026's technological landscape. Our multidisciplinary team operates at the intersection of physics, computer science, and AI innovation in a cutting-edge lab environment. You'll pioneer breakthrough solutions for cryptography optimization, molecular simulation, and machine learning acceleration while collaborating with Nobel laureates and industry pioneers.
As part of our 'Future Shapers' program, you'll access unparalleled resources including 128-qubit quantum processors, dedicated R&D budgets, and partnerships with MIT and Stanford's quantum initiatives. We offer competitive equity packages, flexible research schedules, and relocation assistance for international talent. This role requires a passion for pushing scientific boundaries while mentoring the next generation of quantum pioneers.
Responsibilities
- Design and implement novel quantum algorithms for optimization problems and machine learning applications
- Lead experimental validation of quantum supremacy claims using proprietary quantum processors
- Develop error-correction protocols to achieve fault-tolerant quantum computation
- Collaborate with AI teams to create hybrid quantum-classical computing frameworks
- Publish high-impact research in Nature/Science journals and present at IEEE Quantum Week
- Mentor junior researchers in quantum physics and computational theory
- Secure government and private funding through NSF/DARPA grant proposals
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics
- 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, or Q#)
- Publication record in quantum information science or related fields
- Expertise in quantum error correction and fault-tolerance methodologies
- Deep understanding of quantum machine learning algorithms (VQE, QAOA)
- Experience with superconducting quantum processors or trapped-ion systems
- Strong background in linear algebra, probability theory, and complexity classes
- Ability to translate theoretical concepts into experimental implementations