Job Description
Join Nexus Quantum Dynamics at the forefront of technological evolution as we pioneer the next wave of quantum computing infrastructure. We're seeking a visionary Quantum Computing Architect to design and implement scalable quantum systems that will redefine computational possibilities by 2026. This role offers the unique opportunity to shape the future of high-performance computing while working with cutting-edge quantum processors and hybrid classical-quantum architectures.
You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco R&D facility, where we're developing quantum-resistant security protocols and quantum machine learning frameworks. The ideal candidate thrives at the intersection of theoretical physics and practical engineering, pushing the boundaries of what's possible in the quantum realm.
Responsibilities
- Design fault-tolerant quantum computing architectures for enterprise-scale applications
- Develop hybrid quantum-classical workflows optimizing computational efficiency
- Lead quantum algorithm implementation on multi-qubit processor systems
- Establish quantum security protocols resistant to 2026-era cyber threats
- Collaborate with cross-functional teams to integrate quantum solutions into existing infrastructure
- Research and implement error correction techniques for quantum decoherence mitigation
- Create performance benchmarks for quantum supremacy applications in finance and AI
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years in quantum computing architecture or high-performance computing
- Expertise in quantum algorithms (Shor's, Grover's, QAOA) and quantum programming languages
- Proficiency with quantum simulation frameworks (Qiskit, Cirq, Q#)
- Strong background in cryogenic engineering and quantum control systems
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Published research in peer-reviewed quantum computing journals
- Deep understanding of NISQ-era limitations and fault-tolerant roadmaps