Job Description
Join Nexus Quantum Labs at the frontier of computational intelligence as we pioneer the next generation of AI systems. We're seeking a visionary Quantum AI Research Engineer to architect hybrid quantum-classical models that will redefine machine learning by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art research facility overlooking the Bay. This role offers unparalleled opportunities to shape the future of artificial intelligence while working with cutting-edge quantum hardware and proprietary neural networks.
Why Nexus Quantum Labs? We offer competitive compensation, unlimited PTO, comprehensive health benefits, and a $20,000 annual innovation stipend. Our culture values intellectual curiosity and rapid prototyping in a collaborative environment.
Responsibilities
- Design and implement quantum neural network architectures for next-gen AI systems
- Develop hybrid quantum-classical algorithms for optimization and simulation challenges
- Lead experimental validation of quantum machine learning models on D-Wave and IBM systems
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Publish breakthrough research in top-tier journals and conferences (Nature, NeurIPS, etc.)
- Mentor junior researchers and drive cross-functional innovation sprints
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (MS with 5+ years experience considered)
- Expertise in quantum circuit design and quantum algorithm development
- Proficiency in Python, TensorFlow/PyTorch, and quantum SDKs (Qiskit, Cirq)
- Published research in quantum machine learning or related fields
- Experience with high-performance computing and distributed systems
- Strong background in linear algebra, probability, and information theory
- Demonstrated ability to translate theoretical concepts into practical implementations