Job Description
Join Nexus Quantum Labs at the forefront of technological innovation as we pioneer breakthroughs in quantum-AI fusion for 2026. We seek a visionary AI Research Lead to architect next-generation neural networks that will redefine human-computer interaction. This role offers unparalleled opportunities to shape the future of autonomous systems while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility.
Our team operates at the intersection of quantum computing and machine learning, developing prototypes that will power the next decade of technological evolution. You'll lead a cross-functional squad of 15 researchers while publishing in top-tier journals and filing patents that could revolutionize industries from healthcare to climate science.
Responsibilities
- Architect and implement quantum-enhanced AI frameworks for 2026 deployment
- Lead a multidisciplinary research team in developing novel neural network architectures
- Collaborate with quantum hardware engineers to optimize AI-quantum integration
- Publish groundbreaking research in IEEE/ACM journals and top-tier conferences
- Secure $5M+ in annual research grants from NSF, DARPA, and industry partners
- Develop ethical frameworks for autonomous quantum-AI systems
- Translate theoretical models into production-ready prototypes with 99.9% reliability
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 5+ years research experience
- Published 15+ peer-reviewed papers in AI/quantum computing (NeurIPS/ICML/QIP preferred)
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proven track record of securing $1M+ in research funding
- Strong programming skills in Python, TensorFlow, and quantum assembly languages
- Experience leading cross-functional teams of 10+ researchers
- Deep understanding of quantum error correction and fault-tolerant computing