Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026's computational paradigm shifts. We're seeking visionary researchers to develop hybrid quantum-neural systems that will redefine machine learning capabilities. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research in quantum machine learning, algorithm optimization, and next-gen AI architectures.
This role represents a unique opportunity to shape the future of artificial intelligence while collaborating with Nobel laureates and industry pioneers. Enjoy competitive compensation, flexible work arrangements, and dedicated research budgets for your innovative projects.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex problem-solving
- Lead cross-functional R&D teams in developing hybrid quantum-classical AI systems
- Author peer-reviewed publications and present findings at top-tier conferences
- Collaborate with hardware teams to optimize AI models for quantum processors
- Drive innovation in autonomous quantum error correction for neural networks
- Develop ethical frameworks for advanced AI deployment in critical infrastructure
- Secure research grants and patents for proprietary quantum-AI methodologies
Qualifications
- PhD in Computer Science, Physics, or related field with quantum computing specialization
- 5+ years of experience in machine learning research with publication record
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and AI frameworks
- Demonstrated expertise in quantum algorithm design and optimization
- Strong background in theoretical computer science and complexity theory
- Experience with high-performance computing and distributed AI systems
- Published work in Nature/Science or top-tier ML/quantum conferences