Job Description
Shape the future at Nexus Quantum Labs – where 2026's technological revolution begins. We're pioneering the convergence of quantum computing and artificial intelligence, and we need visionary architects to design the next generation of hybrid systems. Join our elite team in San Francisco to transform theoretical breakthroughs into scalable solutions that will redefine industries.
As a Quantum AI Systems Architect, you'll operate at the intersection of physics, machine learning, and distributed computing. You'll collaborate with Nobel laureates and tech disruptors to build fault-tolerant quantum neural networks capable of solving previously impossible computational challenges. This isn't just a job – it's your opportunity to architect the digital backbone of tomorrow.
Responsibilities
- Design hybrid quantum-classical AI architectures for enterprise-scale applications
- Develop error mitigation protocols for quantum neural networks
- Lead cross-functional teams in implementing quantum machine learning pipelines
- Optimize quantum algorithms for real-time data processing in finance, healthcare, and logistics
- Translate theoretical quantum models into production-ready implementations
- Establish quantum security frameworks for next-gen encryption systems
- Collaborate with hardware teams to co-design quantum-classical interfaces
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years in quantum computing research with published papers in Nature/Science
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum error correction and fault tolerance
- Experience with distributed quantum computing frameworks
- Track record of deploying ML models at scale (TensorFlow/PyTorch)
- Strong background in topological quantum computing or quantum annealing