Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next wave of quantum-AI integration. Our 2026 research initiative seeks visionary scientists to develop breakthrough algorithms that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay, where your work could transform cryptography, drug discovery, and climate modeling.
We offer competitive equity packages, flexible hybrid work arrangements, and access to our quantum-supercomputing cluster. Shape the future of human innovation while enjoying San Francisco's vibrant tech ecosystem.
Responsibilities
- Design and implement quantum machine learning algorithms for complex data modeling
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Publish breakthrough research in top-tier journals and conferences
- Develop error-correction protocols for quantum neural networks
- Collaborate with hardware engineers to optimize quantum chip integration
- Secure $5M+ in research grants from NSF and DARPA
- Mentor PhD candidates in quantum-computing specialization
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (2020-2025 graduates preferred)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in Nature/Science or equivalent tier journals
- Proficiency in Python, TensorFlow, and quantum circuit design
- Demonstrated expertise in quantum error mitigation techniques
- Experience securing federal research grants
- Strong background in topological quantum computing
- Portfolio of 3+ open-source quantum-AI projects