Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026. We're seeking visionary researchers to develop breakthrough algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for exploring quantum machine learning, error correction protocols, and next-gen neural architectures. This role provides exceptional mentorship from Nobel laureates and direct access to IBM's quantum computing ecosystem.
Responsibilities
- Design and implement quantum machine learning models for complex optimization problems
- Develop novel error-correction techniques for quantum neural networks
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with hardware teams to optimize quantum circuit performance
- Secure federal and private funding for quantum-AI initiatives
- Mentor junior researchers in quantum algorithm development
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in quantum programming languages (Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or related fields
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Experience with quantum hardware platforms (IBM Quantum, Rigetti)
- Proven ability to secure research grants and manage large-scale projects