Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our 2026 breakthrough lab seeks visionary researchers to develop scalable quantum algorithms that redefine artificial intelligence boundaries. Located in San Francisco's tech epicenter, you'll collaborate with Nobel laureates and industry disruptors in state-of-the-art facilities.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures for AI optimization
- Develop novel quantum machine learning models for predictive analytics
- Lead cross-functional teams in prototyping quantum neural networks
- Secure $5M+ research grants from NSF and DARPA initiatives
- Author breakthrough publications in Nature Quantum journals
- Mentor PhD candidates in quantum-AI convergence projects
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (2020-2026 graduates encouraged)
- 3+ years experience with quantum programming languages (Qiskit, Cirq)
- Published research in quantum machine learning or topological quantum computing
- Proficiency in Python, TensorFlow Quantum, and quantum circuit optimization
- Expertise in quantum error correction protocols and fault-tolerant design
- Strong track record of securing government/industry research funding