Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational paradigms. As a Quantum AI Research Engineer, you'll architect next-gen algorithms at the intersection of quantum mechanics and machine learning. Our cross-disciplinary team operates in a state-of-the-art facility with access to quantum processors and petascale computing resources. This role offers unparalleled opportunities to publish breakthrough research and shape the future of intelligent systems.
We provide competitive equity packages, flexible hybrid work arrangements, and dedicated R&D budgets for personal projects. Your work will directly impact industries from pharmaceutical discovery to climate modeling.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Develop hybrid quantum-classical neural architectures
- Collaborate with quantum hardware teams to optimize algorithm performance
- Lead research initiatives in quantum error correction and fault-tolerant AI
- Publish findings in top-tier journals and conferences
- Mentor junior researchers and contribute to technical roadmaps
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in advanced ML architectures (transformers, GNNs)
- Strong background in linear algebra and quantum information theory
- Publication record in quantum/AI research
- Experience with high-performance computing environments