Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking a visionary Quantum AI Research Lead to architect breakthrough solutions that will define computing by 2026. Our multidisciplinary team operates at the intersection of quantum mechanics, artificial intelligence, and distributed systems to solve humanity's most complex challenges. This role offers unparalleled resources, including access to our 128-qubit quantum annealer and dedicated GPU clusters.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in prototyping quantum-AI integration frameworks
- Develop fault-tolerant quantum neural networks with error correction protocols
- Collaborate with hardware engineers to optimize quantum-AI co-design
- Publish high-impact research in top-tier journals and conferences
- Secure federal grants and private funding for quantum-AI initiatives
- Mentor PhD researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 5+ years of experience in quantum algorithm development
- Proficiency in Qiskit, Cirq, and quantum circuit optimization
- Publication record in Nature/Science or equivalent venues
- Expertise in tensor networks and quantum machine learning
- Strong background in Python, CUDA, and high-performance computing
- Experience with quantum hardware calibration and error mitigation
- Proven ability to secure $1M+ in research funding