Job Description
Join Nexus Innovations at the bleeding edge of technology revolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll architect breakthrough algorithms, manipulate qubits, and solve previously unsolvable computational challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources to explore quantum supremacy, error correction, and hybrid quantum-classical systems.
Why Nexus Innovations? We're not just preparing for the future—we're creating it. With 50% R&D investment and partnerships with MIT and CERN, you'll collaborate with Nobel laureates and disrupt traditional computing paradigms. Our quantum supremacy milestone in 2025 positioned us as the #1 quantum employer globally.
Responsibilities
- Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
- Develop error correction protocols to achieve fault-tolerant quantum computation
- Collaborate with hardware teams to integrate quantum processors with classical supercomputing infrastructure
- Lead cross-functional projects in quantum simulation for drug discovery and materials science
- Author peer-reviewed publications and secure patents in quantum information theory
- Mentor junior researchers and contribute to our quantum open-source initiatives
- Present breakthrough findings at global quantum computing conferences
Qualifications
- PhD in Quantum Physics, Computer Science, or Applied Mathematics with 3+ years of quantum research experience
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane) and high-performance computing
- Published work in Nature/Science or equivalent-tier quantum computing journals
- Expertise in quantum error correction codes and fault-tolerant architectures
- Strong background in machine learning and statistical analysis
- Experience with cryogenic quantum systems or superconducting qubits
- Track record of translating theoretical concepts into practical implementations