Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum computing systems. We seek a visionary Quantum Computing Architect to design scalable, fault-tolerant quantum processors that will redefine computational capabilities by 2026. This role demands a blend of deep theoretical knowledge and hands-on engineering excellence to transform quantum theory into industrial-grade solutions.
You will lead the architectural blueprint for our quantum annealing and gate-model systems, collaborating with Nobel laureates and industry disruptors. Our state-of-the-art lab in San Francisco offers unparalleled resources to accelerate your innovations from concept to commercial deployment. If you're ready to shape the future of computation and solve problems previously deemed impossible, this is your defining opportunity.
Responsibilities
- Design quantum processor architectures with >1,000 qubit scalability and <0.1% error rates
- Develop fault-tolerance protocols using surface codes and topological qubit implementations
- Create hybrid quantum-classical system integration frameworks for enterprise applications
- Lead cross-functional teams in quantum algorithm optimization and hardware-software co-design
- Establish quantum security standards resistant to Shor's algorithm attacks
- Drive patent development for proprietary quantum error correction methodologies
- Present architectural roadmaps to C-suite executives and venture capital partners
Qualifications
- PhD in Quantum Physics, Computer Science, or Electrical Engineering with 5+ years industry experience
- Proven track record in quantum hardware design (superconducting/ion trap/topological qubits)
- Expertise in quantum error correction codes (surface, color, or LDPC codes)
- Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
- Published research in Nature/Science journals on quantum architectures
- Experience with cryogenic systems and quantum control electronics
- Strong background in machine learning for quantum state tomography
- Demonstrated ability to secure $1M+ in quantum computing R&D grants