Job Description
Shape the future of human-machine intelligence at Nexus Quantum Labs. We're pioneering quantum-AI convergence technologies that will redefine 2026's digital landscape. Join our elite research team in San Francisco where you'll develop next-gen quantum neural networks and collaborate with Nobel laureates. Our state-of-the-art facility offers unparalleled resources for groundbreaking research in quantum machine learning, cryptography, and computational biology.
As a forward-thinking organization, we provide competitive equity packages, flexible work arrangements, and dedicated R&D budgets. If you're ready to solve humanity's most complex challenges through quantum-AI integration, this is your calling.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead research on quantum-AI hybrid architectures for 2026-scale computational challenges
- Develop novel quantum error correction protocols for fault-tolerant AI systems
- Collaborate with cross-disciplinary teams to translate theoretical models into prototypes
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and contribute to quantum-AI open-source initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- Expertise in quantum circuit design and quantum machine learning frameworks
- Proficiency in Python, Qiskit, Cirq, and high-performance computing environments
- Published research in quantum computing or AI (minimum 3 peer-reviewed papers)
- Experience with quantum hardware integration and cloud quantum platforms
- Strong background in linear algebra, probability theory, and statistical modeling