Job Description
Join Nexus Labs at the frontier of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and systems that will revolutionize industries. In this role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges using quantum mechanics. Our state-of-the-art facility offers unparalleled resources for experimentation, including access to 128-qubit processors and dedicated cryogenic labs.
This position requires a blend of deep theoretical knowledge and practical implementation skills. You'll contribute to our Quantum AI initiative, developing hybrid quantum-classical models that outperform classical computing in optimization, cryptography, and machine learning tasks. The ideal candidate thrives in ambiguity, embraces failure as a learning opportunity, and possesses an insatiable curiosity about the quantum realm.
Responsibilities
- Design and implement novel quantum algorithms for real-world applications in finance, logistics, and drug discovery
- Lead cross-functional teams to develop quantum error correction protocols for scalable quantum systems
- Collaborate with hardware engineers to optimize quantum circuit performance on superconducting qubits
- Publish research in top-tier journals and present findings at international quantum computing conferences
- Develop quantum machine learning frameworks leveraging quantum neural networks
- Establish strategic partnerships with academic institutions and quantum hardware providers
- Mentor junior researchers and contribute to quantum computing education initiatives
Qualifications
- PhD in Physics, Computer Science, or related field with quantum computing specialization
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum algorithms or quantum information theory
- Expertise in quantum error correction and fault-tolerant computing architectures
- Proficiency in high-performance computing and parallel programming paradigms
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability theory, and complex analysis
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)