Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Researcher to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. As part of our elite R&D team, you'll develop novel algorithms for quantum machine learning, design fault-tolerant quantum neural networks, and collaborate with Nobel laureates to solve humanity's most complex challenges. This role offers unparalleled resourcesâincluding our 204-qubit 'Orion' supercomputerâand the opportunity to publish groundbreaking research in Nature and Science journals. Our state-of-the-art facility in San Francisco's Innovation District features zero-gravity labs and AI-powered research assistants.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Develop error-corrected quantum neural networks for real-world deployment
- Lead cross-functional teams in prototyping quantum AI solutions for healthcare and climate modeling
- Author peer-reviewed publications and secure government/private research grants
- Optimize quantum algorithms for hybrid quantum-classical computing architectures
- Mentor junior researchers in quantum computing best practices
- Collaborate with hardware engineers to co-design next-generation quantum processors
Qualifications
- PhD in Quantum Computing, AI, or related field with 3+ years industry experience
- Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
- Published research in quantum algorithms or quantum neural networks
- Proficiency in Python, C++, and quantum assembly languages
- Experience with superconducting and photonic quantum systems
- Strong background in theoretical physics and information theory
- Track record of securing research funding (> $500K)