Job Description
Shape the future of computational intelligence at Nexus Quantum Dynamics. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Systems Architect in 2026, you'll design next-generation hybrid quantum-classical frameworks that redefine machine learning capabilities. Join our elite team of visionaries in San Francisco, where theoretical physics meets practical innovation.
This role offers unparalleled opportunities to influence emerging quantum AI standards while working with cutting-edge hardware and software ecosystems. We provide competitive compensation, flexible work arrangements, and dedicated R&D resources for groundbreaking projects.
Responsibilities
- Design scalable quantum AI architectures leveraging 100+ qubit processors
- Develop hybrid quantum-classical algorithms for optimization and simulation
- Lead cross-functional teams in implementing quantum machine learning pipelines
- Research and mitigate quantum decoherence effects in AI training processes
- Collaborate with quantum hardware teams to co-design system interfaces
- Contribute to open-source quantum AI frameworks and standards
Qualifications
- PhD in Quantum Computing, AI, or related computational field
- Expertise in quantum circuit design and quantum machine learning
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- 3+ years experience in large-scale distributed AI system architecture
- Strong publication record in quantum computing or AI research
- Demonstrated ability to translate theoretical concepts to production systems