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 Quantum AI Research Engineer, you'll architect next-gen neural networks leveraging quantum entanglement to solve previously unsolvable challenges in cryptography, materials science, and climate modeling.
Our state-of-the-art San Francisco campus offers unparalleled resources including cryogenic quantum processors and petabit-scale AI clusters. You'll collaborate with Nobel laureates and Turing Award winners in an environment where theoretical breakthroughs become tangible innovations.
We offer competitive equity packages, unlimited R&D budgets, and flexible work arrangements for top-tier talent ready to shape humanity's technological horizon.
Responsibilities
- Design hybrid quantum-AI architectures for real-world applications
- Develop novel quantum error-correction algorithms for fault-tolerant computing
- Lead cross-functional projects integrating quantum processors with neural networks
- Publish breakthrough research in Nature/Science journals
- Secure patents for proprietary quantum-AI methodologies
- Mentor PhD candidates in quantum machine learning
- Collaborate with NASA and DARPA on quantum space computing initiatives
Qualifications
- PhD in Quantum Computing, AI, or Physics (or equivalent industry experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or quantum algorithms
- Experience with superconducting qubits or photonic quantum systems
- Expertise in TensorFlow/PyTorch for quantum-classical hybrid models
- Strong background in topological quantum computing theory
- Ability to secure $5M+ in research grants independently