Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026. This role demands a visionary who can bridge cutting-edge quantum computing with next-generation AI architectures to solve humanity's most complex challenges. You'll lead cross-disciplinary teams to develop scalable quantum neural networks while ensuring ethical implementation in critical infrastructure.
Our San Francisco hub offers unparalleled resources including access to 1000-qubit quantum processors and a $500M R&D budget. Ideal candidates thrive in fast-paced environments where theoretical physics meets practical AI deployment.
Responsibilities
- Design and implement quantum-AI integration frameworks for real-world applications
- Lead research on quantum-resistant cryptographic protocols for 2026 infrastructure
- Collaborate with Nobel-winning physicists to advance quantum machine learning algorithms
- Develop ethical governance frameworks for autonomous quantum decision systems
- Present findings at global technology summits including World Economic Forum Davos 2026
- Mentor PhD candidates in quantum computing-AI convergence projects
- Secure $10M+ in research grants for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Advanced AI with 5+ years industry experience
- Published research in Nature/Science on quantum machine learning or quantum algorithms
- Proficiency in Qiskit, Cirq, or equivalent quantum programming frameworks
- Expertise in neural network quantization and hybrid quantum-classical systems
- Certification in Quantum Computing Architecture (IBM QCS or equivalent)
- Deep understanding of quantum error correction and fault-tolerant systems
- Track record of leading $5M+ R&D projects with tangible commercial outputs