Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop groundbreaking algorithms and hardware architectures that will redefine computational paradigms. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art quantum lab, where your work will directly shape the future of artificial intelligence, cryptography, and materials science.
This role offers unparalleled resources, including access to quantum annealing systems and superconducting qubit processors. You'll lead initiatives in error correction, quantum supremacy, and hybrid quantum-classical systems while mentoring the next generation of quantum engineers. Our compensation package includes equity, relocation assistance, and unlimited professional development opportunities.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Lead quantum hardware research focusing on qubit stability and scalability
- Develop quantum error correction protocols for fault-tolerant systems
- Collaborate with cross-functional teams to integrate quantum solutions into classical computing frameworks
- Publish breakthrough research in top-tier journals and conferences
- Secure patents for quantum computing innovations
- Mentor junior researchers and interns in quantum methodologies
Qualifications
- PhD in Physics, Computer Science, or related field with quantum computing specialization
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Proven track record of peer-reviewed publications in quantum information science
- Expertise in quantum error correction and fault-tolerant architectures
- Familiarity with quantum hardware platforms (superconducting, trapped ions, photonics)
- Strong background in linear algebra, complex analysis, and statistical mechanics
- Experience with high-performance computing environments and parallel programming