Job Description
Join NexusLabs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Lead, you'll architect next-generation algorithms merging quantum supremacy with neural networks, solving problems deemed impossible today. Collaborate with Nobel laureates and disrupt industries from healthcare to climate modeling. Our state-of-the-art lab in downtown San Francisco offers unparalleled resources including 128-qubit processors and exascale computing clusters.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for complex optimization problems
- Lead cross-disciplinary teams of quantum physicists and machine learning engineers
- Develop fault-tolerant quantum error correction protocols for real-world deployment
- Publish breakthrough research in top-tier journals and conferences
- Secure $5M+ in government/private quantum computing grants
- Mentor PhD candidates in quantum machine learning methodologies
- Translate theoretical models into scalable production systems
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (postdoc preferred)
- 5+ years experience in quantum algorithm development and NISQ-era hardware
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Published research in Nature/Science or equivalent tier journals
- Proficiency in Python, C++, and quantum circuit optimization
- Strong background in tensor networks and quantum simulation
- Demonstrated ability to secure federal R&D funding