Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll develop breakthrough algorithms for next-gen quantum processors while shaping the future of artificial intelligence. Our state-of-the-art facility in San Francisco offers unparalleled resources for world-changing research. What you'll achieve: Design hybrid quantum neural networks, optimize error-correction protocols for fault-tolerant computing, and publish groundbreaking research in Nature/Science. Why Nexus Labs? We provide competitive equity packages, flexible R&D budgets, and direct collaboration with Nobel laureates. Shape the future—today.
Responsibilities
- Develop proprietary quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Author peer-reviewed publications and patent novel quantum computing methods
- Optimize qubit stability and coherence for commercial-scale quantum processors
- Collaborate with hardware teams to design quantum-AI accelerator architectures
- Present breakthrough findings at premier international conferences (QIP, NeurIPS)
- Mentor junior researchers in quantum information theory and AI ethics
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years hands-on experience with quantum circuit design using Qiskit/Cirq
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and quantum programming frameworks
- Deep understanding of quantum error correction and fault tolerance principles
- Proven track record of translating theoretical models into experimental results
- Strong background in complex system optimization and high-performance computing