Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As our Quantum AI Research Lead, you'll architect next-gen algorithms merging quantum supremacy with neural networks, shaping the digital landscape of tomorrow.
Why Nexus Labs? We offer unparalleled resources in quantum hardware access, a 24/7 R&D campus with cryogenic computing facilities, and equity in a unicorn-backed startup. Work alongside Nobel laureates and contribute to breakthroughs that will impact global industries.
Responsibilities
- Design and implement quantum machine learning models for 2026-era data processing
- Lead cross-disciplinary teams of physicists and AI engineers
- Develop error-correction protocols for quantum neural networks
- Secure $5M+ in quantum computing grants annually
- Publish 3+ papers in Nature/Science by 2027
- Optimize quantum algorithms for commercial deployment
- Mentor PhD candidates in quantum-AI fusion research
Qualifications
- PhD in Quantum Computing, Physics, or AI with 5+ years industry experience
- Published research in quantum machine learning (arXiv references required)
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum
- Experience with D-Wave/IBM quantum processors
- Strong background in tensor networks and quantum error correction
- Proven track record of securing research funding
- Expertise in Python/C++ with low-level quantum control