Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're seeking visionary Quantum AI Research Scientists to pioneer breakthroughs that will redefine humanity's future by 2026. This role offers unparalleled access to cutting-edge quantum computing infrastructure and AI development environments, where your innovations could solve previously unsolvable challenges in climate modeling, drug discovery, and computational physics.
As part of our elite research division, you'll collaborate with Nobel laureates and industry pioneers in a culture that values audacious thinking and rapid prototyping. Our state-of-the-art San Francisco campus provides dedicated quantum annealing labs, neural network accelerators, and immersive VR collaboration spaces.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization at scale
- Lead cross-functional R&D teams to develop 2026-era AI-quantum hybrid systems
- Publish breakthrough research in top-tier journals/conferences on quantum machine learning
- Architect quantum neural networks for next-generation predictive modeling
- Secure $5M+ in research grants for quantum-AI frontier projects
- Mentor postdoctoral researchers in quantum computing methodologies
- Partner with industry leaders to commercialize quantum-AI innovations
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (with 3+ years postdoc experience)
- Published research in Nature/Science on quantum algorithms or AI optimization
- Expertise in quantum circuit design and quantum error correction protocols
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Proven track record of scaling AI models to 100+ qubit systems
- Deep understanding of tensor networks for quantum machine learning
- Experience securing federal research grants (NSF, DoE, DARPA)
- Strong background in topological quantum computing or quantum annealing