Job Description
Join NexusLabs at the forefront of technological innovation as we pioneer quantum computing solutions for 2026 and beyond. As a Quantum Computing Research Scientist, you'll lead breakthrough research in quantum algorithms, error correction, and hardware optimization to solve previously impossible computational challenges.
We're seeking visionary minds to shape the quantum revolution. Our collaborative environment combines cutting-edge lab facilities with interdisciplinary teams from physics, computer science, and materials engineering. You'll have access to state-of-the-art quantum processors and industry partnerships with Fortune 500 companies.
This role offers unparalleled opportunities to publish groundbreaking research, develop commercial applications, and contribute to quantum security standards that will define the next decade of technology.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop quantum error correction protocols to enhance qubit stability and computational fidelity
- Collaborate with hardware teams to translate theoretical models into practical quantum processor designs
- Lead cross-functional research projects exploring quantum applications in cryptography, drug discovery, and materials science
- Publish high-impact research in peer-reviewed journals and present findings at international conferences
- Mentor junior researchers and contribute to patent development for quantum innovations
Qualifications
- PhD in Physics, Computer Science, Quantum Information Science, or related field with 3+ years of research experience
- Proven expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum simulation frameworks
- Deep understanding of quantum error correction, fault tolerance, and quantum hardware architectures
- Publication record in top-tier quantum computing or physics journals
- Experience with superconducting qubits, trapped ions, or photonic quantum systems
- Strong analytical skills with proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to lead complex research projects and collaborate across disciplines