Job Description
Join the forefront of technological innovation at Nexus Labs as we pioneer the 2026 Quantum Initiative. We seek a visionary Quantum Computing Researcher to architect next-generation quantum systems that will redefine computational boundaries. This role offers unparalleled opportunities to work with Nobel Prize-winning physicists and collaborate on projects that will shape humanity's digital future.
Your mission involves designing fault-tolerant quantum architectures, developing novel error correction algorithms, and bridging quantum-classical computing paradigms. You'll operate in our state-of-the-art quantum lab equipped with cryogenic processors and advanced simulation environments.
We provide comprehensive benefits including equity, flexible research budgets, and continuous learning stipends. Nexus Labs fosters a culture where curiosity drives innovation, and your breakthroughs could revolutionize fields from pharmaceuticals to cryptography.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures using superconducting and topological qubits
- Develop novel quantum error correction algorithms for 100+ qubit systems
- Lead cross-disciplinary research teams in quantum-classical hybrid computing solutions
- Optimize quantum algorithms for practical applications in machine learning and cryptography
- Publish findings in peer-reviewed journals and present at international quantum conferences
- Collaborate with hardware engineers to translate theoretical models into physical implementations
- Secure patents for quantum innovations with commercialization potential
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
- Proven track record publishing in Nature/Science or equivalent high-impact journals
- Proficiency with quantum programming languages (Q#, Quil, Cirq) and simulation frameworks
- Experience with cryogenic quantum systems and quantum control hardware
- Demonstrated ability to secure government or private research funding ($1M+)
- Strong background in machine learning and high-performance computing