Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're seeking a pioneering Quantum Computing Research Scientist to architect breakthrough solutions that will redefine 2026's digital landscape. In this visionary role, you'll develop novel quantum algorithms, optimize error correction protocols, and collaborate with Nobel laureates to solve previously insurmountable computational challenges. Our state-of-the-art facility offers unparalleled resources for quantum experimentation, including 128-qubit processors and cryogenic computing environments. You'll lead projects in quantum machine learning, cryptography, and material science, publishing findings in Nature Physics and IEEE Quantum Journal.
We provide competitive equity packages, unlimited R&D budget, and flexible hybrid work arrangements. Our culture celebrates intellectual curiosity, with weekly hackathons and quarterly innovation sprints. Relocation assistance and comprehensive benefits including quantum-focused wellness programs await the right candidate.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop error correction protocols for fault-tolerant quantum computing systems
- Lead cross-functional teams in quantum machine learning model development
- Collaborate with hardware engineers to optimize quantum circuit architectures
- Author peer-reviewed research papers and present at international conferences
- Secure patents for quantum computing innovations and methodologies
- Mentor junior researchers and establish quantum computing best practices
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years of hands-on quantum algorithm development experience
- Proficiency with Qiskit, Cirq, or equivalent quantum programming frameworks
- Published research in top-tier quantum computing journals
- Deep understanding of quantum error correction and decoherence mitigation
- Experience with superconducting or trapped-ion quantum systems
- Strong mathematical background in linear algebra, probability, and complexity theory