Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution. We're seeking visionary Quantum AI Integration Specialists to architect the next generation of hybrid quantum-neural systems. As we approach 2026, this role bridges quantum computing, artificial intelligence, and real-world problem-solving. You'll collaborate with Nobel laureates and industry pioneers to deploy quantum algorithms that redefine machine learning paradigms. Our state-of-the-art San Francisco lab offers unparalleled resources to transform theoretical quantum advantage into tangible solutions for climate modeling, drug discovery, and financial optimization.
Position includes equity package, unlimited PTO, and cutting-edge hardware access. Relocation assistance provided for exceptional candidates.
Responsibilities
- Design and implement quantum neural network architectures leveraging Qiskit and TensorFlow Quantum
- Develop hybrid quantum-classical pipelines for complex optimization problems
- Lead cross-functional teams in translating quantum algorithms into production AI systems
- Conduct research on quantum advantage in deep learning and NLP applications
- Secure quantum computing resources via cloud platforms (IBM Quantum, Amazon Braket)
- Present findings at industry conferences and publish in leading journals
- Mentor junior researchers in quantum machine learning best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and Python frameworks
- Published research in quantum machine learning or quantum algorithms
- Expertise in quantum error correction and fault-tolerant system design
- Strong background in AI/ML with experience deploying production models
- Experience with quantum hardware providers (Rigetti, IonQ, D-Wave)
- Demonstrated ability to lead technical projects and publish peer-reviewed work