Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the quantum frontier in 2026. We're seeking a visionary Quantum Computing Research Scientist to architect breakthrough algorithms and redefine computational boundaries. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum solutions for Fortune 500 clients. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and innovation, including access to 100+ qubit processors and dedicated quantum annealing infrastructure. This is your chance to shape humanity's digital future while enjoying industry-leading compensation, flexible work arrangements, and comprehensive wellness benefits.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and cryptography applications
- Lead experimental research on quantum error correction and fault-tolerant computing architectures
- Develop hybrid quantum-classical machine learning models for real-world problem-solving
- Collaborate with hardware teams to translate theoretical models into practical quantum circuits
- Author peer-reviewed publications and present findings at premier quantum computing conferences
- Mentor junior researchers and drive quantum literacy initiatives across the organization
- Secure patents for proprietary quantum methodologies and intellectual property
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics with 3+ years of quantum research experience
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#) and simulation tools
- Published work in Nature/Science or top-tier quantum computing journals
- Deep understanding of quantum entanglement, superposition, and decoherence principles
- Expertise in Python, C++, and high-performance computing environments
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Strong track record of translating theoretical concepts into practical implementations