Job Description
Shape the technological frontier by 2026 at Nexus Quantum Dynamics. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. Join our elite team of innovators in a state-of-the-art San Francisco lab where your work will redefine computational boundaries. Enjoy cutting-edge resources, competitive equity packages, and unparalleled opportunities to influence next-generation breakthroughs.
Responsibilities
- Develop hybrid quantum-classical ML algorithms for 2026-scale problem domains
- Architect fault-tolerant quantum computing pipelines for real-time AI training
- Lead cross-disciplinary R&D initiatives in quantum neural networks
- Optimize quantum hardware-software interfaces for AI acceleration
- Collaborate with Nobel laureates and industry pioneers on 5-year roadmaps
- Secure funding through NSF/NIH grants for frontier research
- Mentor PhD candidates in quantum-AI integration methodologies
Qualifications
- PhD in Quantum Computing, AI, or Physics (or equivalent experience)
- 5+ years in quantum algorithm development or ML systems design
- Proficiency with Qiskit, Cirq, and TensorFlow Quantum frameworks
- Published research in Nature/Science on quantum machine learning
- Expertise in superconducting qubit manipulation and error correction
- Track record of translating theoretical models into scalable prototypes
- Experience securing federal research grants ($500k+)