Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum computing systems. We're seeking a visionary Quantum Computing Architect to design scalable quantum algorithms and hybrid quantum-classical frameworks that will redefine computational boundaries by 2026. This role offers unparalleled opportunities to shape the future of AI, cryptography, and materials science while collaborating with Nobel laureates and industry disruptors.
Our state-of-the-art facility in San Francisco's innovation district provides an environment where cutting-edge research meets commercial application. You'll lead initiatives that bridge theoretical quantum mechanics with practical enterprise solutions, working alongside multidisciplinary teams to overcome today's computational limitations.
Responsibilities
- Design and implement fault-tolerant quantum circuit architectures for enterprise applications
- Develop hybrid quantum-classical algorithms for optimization and machine learning problems
- Create quantum error mitigation strategies to achieve practical computational advantage
- Lead cross-functional teams in translating quantum research into commercial solutions
- Establish quantum security protocols for next-generation cryptographic systems
- Collaborate with hardware teams to co-design quantum processors and control systems
- Document quantum system architectures and publish research in peer-reviewed journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum algorithm design (QAOA, VQE, Shor's algorithm implementations)
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#) and cloud platforms
- Strong background in quantum error correction and fault-tolerant architectures
- Published research in quantum computing or related top-tier conferences/journals
- Experience leading quantum computing projects with measurable business impact
- Deep understanding of quantum hardware constraints and co-design principles