Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Researcher to architect the next generation of hybrid quantum-classical intelligence systems. This role bridges quantum computing, neural networks, and predictive analytics to solve humanity's most complex challenges. You'll collaborate with Nobel laureates and pioneer breakthroughs in autonomous systems, climate modeling, and personalized medicine.
Why Nexus Labs? Our state-of-the-art facility in San Francisco offers unparalleled resources for quantum experimentation, including 512-qubit processors and dedicated AI superclusters. We provide competitive equity packages, unlimited R&D budgets, and flexible hybrid work arrangements for world-changing innovators.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical neural network architectures
- Lead cross-functional teams in prototyping 2026-era autonomous systems
- Validate quantum AI models against real-world climate and medical datasets
- Secure patents for novel quantum-computing methodologies
- Publish breakthrough research in Nature/Science journals
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent research experience)
- Expertise in quantum programming languages (Qiskit, Cirq) and NISQ algorithms
- Published work in top-tier ML/quantum conferences (NeurIPS, QIP)
- Mastery of Python, TensorFlow, and quantum error correction techniques
- Experience with high-performance computing clusters (HPC)
- Strong background in theoretical physics and information theory