Job Description
Join Nexus Quantum Dynamics at the forefront of technological evolution as we pioneer the next generation of AI-driven quantum systems. We're seeking a visionary 2026 Quantum AI Research Scientist to architect breakthrough solutions that will redefine industries by 2026. This role offers unparalleled opportunities to collaborate with Nobel laureates and shape the future of computational intelligence.
Our state-of-the-art facility in San Francisco's tech corridor provides an incubator environment where theoretical physics meets cutting-edge machine learning. We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity in our moonshot projects.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for 2026-era computational challenges
- Lead cross-functional teams in developing error-corrected quantum neural networks
- Architect scalable AI frameworks optimized for next-generation quantum processors
- Author breakthrough research papers for Nature Quantum and IEEE journals
- Partner with government agencies on post-quantum cryptography standards
- Mentor PhD candidates in quantum machine learning methodologies
- Secure $10M+ in DARPA/NASA grants for 2026 technology roadmaps
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 3+ years industry experience
- Published research in top-tier journals on quantum machine learning
- Expertise in Qiskit, Cirq, and quantum circuit optimization
- Proven track record of scaling ML models to 100+ qubit systems
- Deep understanding of quantum error correction and fault-tolerant architectures
- Experience with neuromorphic computing and memristor-based AI
- Security clearance preferred for government collaboration projects
- Fluency in Python, TensorFlow Quantum, and low-level quantum assembly