Job Description
Join Nexus Future Labs at the forefront of 2026 technological innovation! We're pioneering quantum-AI convergence to solve humanity's greatest challenges. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that blend quantum computing with neural networks, pushing boundaries in cryptography, drug discovery, and climate modeling.
Our San Francisco hub offers cutting-edge labs, flexible hybrid work, and unparalleled mentorship from Nobel laureates. You'll collaborate with multidisciplinary teams to transform theoretical breakthroughs into real-world solutions, accelerating the 2026 technology revolution.
Responsibilities
- Design and implement hybrid quantum-AI algorithms for complex optimization problems
- Develop error-correction protocols for quantum neural networks
- Lead cross-functional prototyping sessions with physicists and data scientists
- Translate research into patentable quantum-AI architectures
- Author peer-reviewed publications for Nature/Science journals
- Mentor junior researchers in quantum machine learning techniques
- Drive open-source contributions to quantum-AI frameworks
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent research experience)
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants)
- Proficiency with TensorFlow Quantum or PennyLane frameworks
- Publication record in top-tier AI/quantum conferences (NeurIPS, QIP)
- Experience with superconducting or photonic quantum systems
- Strong background in differential geometry and tensor networks
- Fluency in Python, C++, and quantum assembly languages