Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking a visionary Quantum Computing Research Lead to architect next-gen algorithms and systems that solve previously impossible challenges. In this pivotal role, you'll lead a multidisciplinary team of physicists, engineers, and data scientists to push the boundaries of quantum supremacy. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research, including access to proprietary quantum hardware and industry partnerships with Fortune 500 companies.
This position offers the unique opportunity to shape the quantum landscape while contributing to humanity's most ambitious technological milestones. You'll collaborate with Nobel laureates and publish findings in top-tier journals, accelerating your impact on the scientific community.
Responsibilities
- Lead quantum algorithm development for optimization, cryptography, and machine learning applications
- Design and execute fault-tolerant quantum computing architectures targeting 2026 deployment
- Coordinate cross-functional research teams across physics, software engineering, and domain expertise
- Secure $5M+ in research funding through NSF, DARPA, and private partnerships
- Develop quantum error correction protocols for practical commercial applications
- Drive intellectual property strategy with 15+ patents filed annually
- Present breakthrough findings at global conferences including IEEE Quantum Week
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 8+ years research experience
- Published 20+ papers in Nature/Science journals on quantum systems
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Proven track record leading quantum hardware-software integration projects
- Deep understanding of quantum error correction and fault tolerance
- Experience securing $3M+ in government and private research funding
- Strong background in machine learning applied to quantum systems
- Patent portfolio with 5+ granted quantum computing patents