Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and solve previously unsolvable computational challenges. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art quantum research facility, pushing the boundaries of what's possible in cryptography, material science, and artificial intelligence.
Our interdisciplinary team operates at the intersection of quantum physics, computer science, and emerging technologies. You'll have access to cutting-edge quantum processors and dedicated resources to explore groundbreaking research areas including quantum machine learning, quantum-resistant cryptography, and quantum simulation for drug discovery. This role offers unparalleled opportunities to shape the technological landscape of the coming decade.
Responsibilities
- Design and implement novel quantum algorithms for complex optimization problems
- Lead quantum simulation projects for molecular modeling and drug discovery
- Develop quantum-resistant cryptographic protocols for 2026 security standards
- Collaborate with AI teams to integrate quantum computing with machine learning frameworks
- Publish breakthrough research in top-tier journals and industry conferences
- Mentor junior researchers and foster cross-functional innovation
- Secure external funding through government and private sector grants
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum error correction and fault-tolerant architectures
- Published research in quantum computing or quantum information theory
- Proficiency in high-performance computing environments and parallel processing
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)