Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect next-gen algorithms and hardware architectures that will redefine computational paradigms. In this pivotal role, you'll lead a multidisciplinary team of physicists, engineers, and data scientists to overcome quantum decoherence challenges and develop scalable quantum systems. Our state-of-the-art lab in San Francisco offers unparalleled resources to explore quantum supremacy applications in cryptography, optimization, and molecular modeling.
This position requires deep expertise in quantum error correction protocols and hands-on experience with superconducting qubits or ion-trap systems. You'll collaborate with industry giants and academic institutions to shape quantum standards while publishing breakthrough research in top-tier journals. The ideal candidate thrives at the intersection of theoretical physics and practical implementation, with a proven track record of translating quantum theory into tangible innovations.
Responsibilities
- Design and implement quantum error correction frameworks for fault-tolerant computing systems
- Lead cross-functional R&D teams in developing 100+ qubit quantum processors
- Establish strategic partnerships with quantum hardware manufacturers and software developers
- Develop quantum algorithms for optimization problems in finance and logistics
- Secure $5M+ in research grants from NSF, DARPA, and private investors
- Mentor PhD researchers and publish 3+ high-impact papers annually
- Architect quantum cloud platforms for enterprise clients
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (Postdoc preferred)
- 8+ years of quantum computing research with superconducting qubits or ion traps
- Published work in Nature/Science or equivalent quantum computing journals
- Expertise in quantum circuit optimization and fault-tolerant architectures
- Proven experience securing government and private research funding
- Strong background in machine learning for quantum system calibration
- Proficiency in Qiskit, Cirq, or equivalent quantum development frameworks
- Leadership experience managing interdisciplinary research teams