Job Description
Join the forefront of technological innovation as we architect the next generation of quantum-AI hybrid systems for 2026. At Nexus Quantum Labs, we're pioneering solutions that will redefine computational boundaries. This role offers unparalleled opportunity to shape the future of machine learning and quantum computing integration. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility overlooking the Bay. We provide comprehensive benefits including equity, flexible schedules, and continuous learning stipends.
Responsibilities
- Design and implement quantum-AI hybrid neural networks for next-generation computing systems
- Lead cross-functional teams in developing fault-tolerant quantum processors
- Optimize quantum algorithms for real-time AI model training and inference
- Develop novel error-correction protocols for quantum machine learning pipelines
- Architect secure quantum communication frameworks for distributed AI systems
- Collaborate with hardware teams to co-design quantum-resistant AI accelerators
- Publish breakthrough research in top-tier quantum computing journals
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years developing quantum algorithms or AI systems at scale
- Expertise in quantum circuit design and error mitigation techniques
- Proficiency in Python, Qiskit, and TensorFlow Quantum
- Demonstrated experience with distributed computing frameworks
- Published research in quantum machine learning or quantum computing
- Strong background in theoretical computer science and linear algebra
- Ability to work with cutting-edge quantum hardware prototypes