Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. Our mission is to develop next-gen quantum neural networks that will redefine computational boundaries. As a Quantum AI Research Lead, you'll architect breakthrough algorithms in our state-of-the-art San Francisco lab, collaborating with Nobel Prize-winning physicists and AI visionaries to solve previously impossible challenges in drug discovery, climate modeling, and cryptography.
We offer unparalleled resources including access to 1000-qubit quantum processors, dedicated research budgets, and a flexible hybrid work environment. Your work will directly shape humanity's technological trajectory while enjoying comprehensive benefits including equity, wellness stipends, and continuous learning programs.
Responsibilities
- Design and implement hybrid quantum-classical AI algorithms for real-world applications
- Lead cross-functional teams of quantum physicists and machine learning engineers
- Develop error-correction protocols for scalable quantum neural networks
- Secure patents for novel quantum machine learning methodologies
- Present breakthrough findings at premier conferences like IEEE Quantum Week
- Mentor junior researchers and publish in Nature Quantum Information
- Collaborate with industry partners to implement quantum AI solutions
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow, and high-performance computing
- Deep understanding of quantum error correction and fault tolerance
- Experience leading technical teams and managing research projects
- Strong background in linear algebra and quantum information theory