Job Description
Join Nexus Future Labs at the frontier of technological evolution. We're pioneering quantum-AI convergence solutions that will redefine 2026's digital landscape. As a Quantum AI Research Engineer, you'll architect next-gen neural networks operating at quantum coherence levels. Our multidisciplinary team of Nobel laureates and Turing Award winners collaborates in state-of-the-art labs where theoretical physics meets practical AI implementation. This role offers equity, unlimited R&D budget, and the chance to publish breakthrough research in Science and Nature.
Responsibilities
- Design and implement quantum-enhanced machine learning algorithms for 2026-era applications
- Develop fault-tolerant quantum neural networks using Qiskit and PennyLane frameworks
- Lead cross-functional prototyping sessions with quantum hardware specialists
- Author peer-reviewed publications on quantum-AI hybrid architectures
- Secure $5M+ in federal grants for quantum-AI research initiatives
- Mentor PhD researchers in quantum machine learning methodologies
- Collaborate with DARPA and NASA on quantum-resistant cryptography standards
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on experience with quantum annealing systems
- Proficiency in quantum programming languages (Q#, Quipper) and AI frameworks
- Published research in quantum machine learning or top-tier AI conferences
- Expertise in quantum error correction protocols and coherence optimization
- Strong background in tensor networks and quantum information theory
- Experience securing government grants for quantum research
- Deep understanding of 2026 quantum-AI convergence roadmaps