Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our 2026 Quantum Computing Initiative seeks visionary researchers to transform theoretical quantum algorithms into practical solutions for climate modeling, drug discovery, and autonomous systems. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay Bridge.
We offer equity grants, unlimited R&D budget, and flexible remote work options. Selected candidates will access our quantum annealing lab and participate in groundbreaking projects with NASA and MIT.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Lead cross-functional teams in developing quantum-resistant encryption protocols
- Author peer-reviewed publications for Nature Quantum and IEEE journals
- Prototype quantum neural networks on 1000+ qubit processors
- Secure $5M+ in DARPA/NSF research grants
- Mentor PhD candidates in quantum information science
- Develop patent-pending quantum error correction methodologies
Qualifications
- PhD in Quantum Physics/Computer Science or equivalent experience
- 3+ years hands-on experience with quantum annealing or gate-based systems
- Published research in top-tier quantum computing journals
- Expertise in Qiskit, Cirq, or proprietary quantum SDKs
- Proficiency in Python, TensorFlow Quantum, and high-performance computing
- Strong background in topological quantum computing
- Security clearance eligibility or existing DoD/NASA clearance