Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI convergence solutions. We're seeking visionary researchers to develop next-generation algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough innovation in quantum machine learning, cryptographic security, and autonomous systems.
As a key member of our Future-Forward Research Division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets for cutting-edge experiments.
Responsibilities
- Design and implement quantum neural networks for 2026-era applications
- Lead cross-functional teams in developing AI-quantum hybrid algorithms
- Secure $5M+ in federal grants for quantum-AI infrastructure
- Publish breakthrough research in Nature/Science journals
- Architect quantum-resistant encryption protocols for next-gen systems
- Mentor PhD candidates in quantum machine learning
- Collaborate with DARPA on classified national security projects
Qualifications
- PhD in Quantum Computing or AI with 5+ years research experience
- Published 20+ peer-reviewed papers on quantum machine learning
- Expertise in Qiskit, Cirq, and D-Wave platforms
- Proficiency in tensor networks and quantum error correction
- Track record securing NSF/DARPA grants
- Deep understanding of quantum supremacy thresholds
- Experience with neuromorphic quantum hardware
- Fluency in Python/C++ with quantum libraries