Job Description
Shape the technological frontier of 2026 at Nexus Quantum Solutions. We're seeking a visionary Quantum AI Systems Architect to design next-generation hybrid quantum-classical computing frameworks that will redefine industries. Join our elite team in San Francisco, where innovation meets implementation, and contribute to projects that will power the next decade of technological advancement. Enjoy competitive compensation, cutting-edge resources, and the opportunity to work at the intersection of quantum mechanics, artificial intelligence, and distributed systems.
Responsibilities
- Design scalable quantum neural network architectures for real-world AI applications
- Develop hybrid quantum-classical algorithms for optimization and simulation challenges
- Lead R&D initiatives in quantum machine learning frameworks and error mitigation
- Collaborate with hardware teams to optimize quantum circuit performance
- Create patent-pending quantum security protocols for post-quantum cryptography
- Mentor junior engineers in quantum programming best practices
- Present breakthrough research at industry conferences and publish in top-tier journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years developing quantum algorithms or quantum machine learning systems
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and frameworks
- Strong background in AI/ML, with publication record in neural networks
- Experience with high-performance computing and distributed systems
- Proficiency in Python, C++, and low-level quantum hardware interfaces
- Demonstrated ability to translate complex theoretical concepts into practical implementations