Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026. We seek a visionary Quantum Computing Architect to design next-generation quantum systems that will redefine computational boundaries. This role demands a blend of theoretical expertise and hands-on engineering to transform quantum principles into scalable, fault-tolerant architectures. You will lead cross-disciplinary teams in developing quantum algorithms, error correction protocols, and hybrid quantum-classical interfaces that will power breakthroughs in cryptography, materials science, and AI optimization.
Our San Francisco hub offers unparalleled resources for quantum research, including state-of-the-art cryogenic systems and dedicated quantum simulation environments. You'll collaborate with Nobel laureates and industry pioneers to shape the quantum landscape of the near future. This position includes competitive equity, comprehensive benefits, and opportunities to publish groundbreaking research.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures targeting 2026 technological milestones
- Develop quantum error correction protocols for 100+ qubit systems with <10-9 logical error rates
- Create hybrid quantum-classical frameworks for real-world applications in drug discovery and optimization
- Lead quantum algorithm development for NISQ-era devices and fault-tolerant quantum computers
- Collaborate with materials science teams to engineer novel qubit technologies
- Establish quantum security protocols resistant to 2026-era cryptographic threats
- Mentor junior quantum engineers and publish research in top-tier journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum error correction, topological quantum computing, or superconducting qubits
- Proven track record of designing scalable quantum architectures with industry partners
- Deep understanding of quantum machine learning and variational algorithms
- Familiarity with quantum programming frameworks (Qiskit, Cirq, Q#)
- Experience with cryogenic engineering and quantum control systems
- Published research in quantum computing or related fields (arXiv, Nature, Science)