Job Description
Join Nexus Future Labs at the forefront of technological evolution in 2026. As a Quantum AI Research Scientist, you'll pioneer the next wave of computational breakthroughs by merging quantum computing with artificial intelligence. Our multidisciplinary team operates at the intersection of physics, computer science, and machine learning to solve humanity's most complex challenges. We offer state-of-the-art facilities, competitive compensation, and unparalleled opportunities to shape the future of technology.
This role requires deep expertise in quantum algorithms, neural network optimization, and experimental physics. You'll collaborate with Nobel laureates and industry disruptors while publishing groundbreaking research in top-tier journals. Our San Francisco campus features a 128-qubit quantum processor and an AI supercluster computing environment.
Responsibilities
- Design and implement novel quantum machine learning algorithms for pattern recognition and predictive analytics
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Conduct experimental research on quantum neural networks using proprietary hardware systems
- Optimize AI models for quantum acceleration, achieving 1000x performance improvements
- Author peer-reviewed publications and present findings at international conferences
- Secure $5M+ in research grants and partnerships with government agencies
- Mentor PhD candidates and junior researchers in advanced quantum computing methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Published research in Nature/Science journals on quantum algorithms or AI optimization
- Proficiency in quantum programming languages (Q#, Quil, or Cirq) and Python frameworks
- Expertise in tensor networks, quantum error correction, and topological computing
- Proven track record of scaling ML models to quantum hardware with measurable efficiency gains
- Experience securing DoD or NSF grants for quantum research initiatives
- Strong background in computational complexity theory and quantum information theory