Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computational paradigms. As a Quantum AI Research Engineer, you'll architect hybrid quantum-neural networks to solve previously unsolvable problems in cryptography, materials science, and climate modeling. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
Compete for the future with us. Your work will directly impact humanity's most critical challenges while shaping the next decade's technological landscape.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computing architectures
- Develop hybrid quantum-classical neural networks for complex system optimization
- Lead cross-functional teams in prototyping quantum-AI solutions for Fortune 500 partners
- Author whitepapers on quantum supremacy applications in enterprise environments
- Collaborate with MIT and Caltech researchers on next-gen quantum error correction
- Drive innovation in quantum-safe cryptography standards for global infrastructure
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum circuit design and QML frameworks (Qiskit, Cirq)
- Publication record in top-tier quantum computing journals/conferences
- Proficiency in Python, TensorFlow, and low-level quantum assembly languages
- Experience with cryogenic quantum systems and superconducting qubits
- Deep understanding of quantum entanglement and decoherence mitigation
- Track record of translating quantum theory into practical enterprise solutions