Job Description
Join Nexus Labs at the forefront of computational revolution! We're seeking a visionary Quantum Computing Research Lead to architect breakthrough solutions that will redefine industries by 2026. This role combines deep technical expertise with strategic innovation, driving our mission to solve humanity's most complex challenges through quantum supremacy. You'll lead a multidisciplinary team of physicists, engineers, and data scientists while shaping the next generation of quantum algorithms.
Why Nexus Labs? We offer unparalleled resources, collaborative innovation labs, and a culture that thrives on pushing boundaries. Our Austin campus features state-of-the-art quantum hardware and industry partnerships with Fortune 500 leaders.
Responsibilities
- Architect and execute quantum computing research roadmaps aligned with 2026 commercialization targets
- Lead cross-functional teams in developing novel quantum algorithms for optimization, cryptography, and machine learning
- Secure and manage $5M+ research budgets through strategic partnerships with government agencies and private investors
- Translate theoretical quantum concepts into patentable solutions with real-world industrial applications
- Present breakthrough findings at international conferences and publish in top-tier scientific journals
- Mentor PhD-level researchers while fostering a culture of radical innovation and scientific rigor
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 8+ years of research experience
- Proven track record of publishing in Nature/Science journals or equivalent high-impact publications
- Expertise in quantum error correction, topological qubits, or quantum machine learning frameworks
- Experience securing federal research grants (DARPA, NSF) or corporate R&D partnerships
- Deep understanding of quantum hardware architectures (superconducting, ion trap, photonic)
- Exceptional leadership skills with demonstrated ability to manage multidisciplinary research teams
- Proficiency in quantum programming languages (Qiskit, Cirq) and classical simulation tools