Job Description
Shape the future at Nexus Labs, where we're pioneering quantum-AI hybrid systems for 2026. Join our elite research team to develop next-generation algorithms that bridge quantum computing and artificial intelligence. This role offers unparalleled opportunities to publish groundbreaking research and collaborate with Nobel laureates in our state-of-the-art facility.
Responsibilities
- Design and implement quantum machine learning models for 2026 applications
- Lead cross-functional R&D initiatives in quantum-AI integration
- Develop patent-pending algorithms for quantum-resistant cryptography
- Collaborate with hardware teams to optimize quantum-AI hybrid systems
- Publish research in top-tier journals and present at global conferences
- Mentor junior researchers and drive innovation in quantum computing
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- 3+ years in quantum algorithm development or machine learning
- Expertise in Qiskit, Cirq, or quantum programming frameworks
- Strong background in Python, TensorFlow, and PyTorch
- Published research in quantum computing or AI (Nature/Science preferred)
- Experience with quantum hardware (IBM Quantum, Rigetti, etc.)
- Ability to lead complex technical projects in high-stakes environments