Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026 and beyond. We seek visionary researchers to decode quantum algorithms and integrate them with next-generation neural networks. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking work that will redefine computational boundaries. Collaborate with Nobel laureates and industry disruptors in an environment where your innovations shape the future of human-machine symbiosis.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing architectures
- Lead cross-functional teams in prototyping 2026-ready systems
- Secure research funding through NSF and DARPA proposals
- Author peer-reviewed publications in Nature/Science journals
- Mentor PhD candidates in quantum information theory
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming (Qiskit, Cirq)
- Published research in top-tier quantum/AI conferences
- Expertise in quantum error correction protocols
- Proficiency in high-performance computing environments
- Demonstrated ability to secure federal research grants
- Strong background in tensor networks and quantum ML