Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer breakthroughs that will redefine 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-generation algorithms and architectures that solve previously impossible computational challenges. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art quantum research facility, where your work directly impacts fields from climate modeling to drug discovery. This role offers unparalleled opportunities to shape the quantum landscape while enjoying competitive compensation and industry-leading benefits.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Lead experimental validation of quantum hardware prototypes in cryogenic environments
- Develop error mitigation strategies to advance quantum coherence beyond current limitations
- Collaborate with cross-functional teams to translate quantum research into commercial applications
- Publish breakthrough findings in top-tier journals and present at international quantum conferences
- Mentor junior researchers and contribute to quantum education initiatives
- Secure and manage research funding through government grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit optimization
- Proven track record of publishing in quantum computing or quantum information science
- Deep understanding of quantum error correction and fault-tolerant architectures
- Experience with quantum hardware platforms (superconducting, trapped ions, photonic)
- Strong background in linear algebra, probability theory, and computational complexity
- Ability to work in highly interdisciplinary teams with physicists, engineers, and software developers
- Preferred: Experience with quantum machine learning frameworks and NISQ-era algorithms