Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a 2026 Quantum AI Researcher, you'll architect next-gen algorithms merging quantum supremacy with neural networks, solving previously impossible challenges in cryptography, material science, and autonomous systems. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical breakthroughs into tangible innovations.
We value audacious thinkers who thrive at the intersection of physics and machine learning. This role includes competitive equity, flexible R&D funding, and collaboration with Nobel laureate advisors. Shape the future of human-machine intelligence.
Responsibilities
- Design quantum-AI hybrid architectures for 2026-era computational challenges
- Develop proprietary algorithms leveraging quantum entanglement and deep learning
- Lead cross-disciplinary teams in quantum cryptography and neural network optimization
- Secure patents for novel quantum-AI methodologies with commercial applications
- Present breakthroughs at premier tech conferences (e.g., Quantum Computing Summit)
- Collaborate with hardware teams to optimize quantum-AI system performance
- Guide junior researchers through cutting-edge research initiatives
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (2020-2026 graduates preferred)
- Published research in Nature/Science on quantum machine learning or similar
- Proficiency in Qiskit, Cirq, or equivalent quantum programming frameworks
- Expertise in TensorFlow/PyTorch with quantum neural network implementations
- Demonstrated experience with quantum error correction protocols
- Strong background in high-dimensional mathematics and tensor networks
- Portfolio showcasing at least 2 quantum-AI proof-of-concept projects
- US citizenship or permanent residency required for facility access