Job Description
Join Nexus Quantum Labs at the frontier of 2026 technology revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that merge quantum mechanics with machine learning, solving previously unsolvable problems in cryptography, materials science, and optimization. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into tangible breakthroughs. Work alongside Nobel laureates and contribute to projects that will shape humanity's technological trajectory.
Responsibilities
- Design and implement quantum algorithms for AI acceleration
- Develop hybrid quantum-classical machine learning frameworks
- Optimize quantum circuit performance for real-world applications
- Collaborate on patentable quantum-AI integration methodologies
- Lead research publications in top-tier quantum computing journals
- Translate complex quantum principles into deployable engineering solutions
- Mentor junior researchers in quantum-AI convergence techniques
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Proven track record in quantum algorithm design and optimization
- Deep understanding of machine learning frameworks (PyTorch, TensorFlow)
- Experience with superconducting quantum processors or photonic systems
- Published research in quantum computing or AI/ML
- Strong background in linear algebra and quantum mechanics
- Ability to work in cross-disciplinary teams of physicists and engineers