Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're pioneering next-gen neural networks that transcend classical computing limits. As a Quantum AI Research Engineer, you'll architect breakthrough algorithms for our flagship Project Chronos—developing autonomous systems that learn, adapt, and evolve in real-time. This isn't just coding; it's reshaping reality through computational physics and machine learning fusion.
We offer unparalleled resources: access to quantum annealing hardware, dedicated research pods, and collaboration with Nobel laureates. Your work will directly impact industries from drug discovery to climate modeling, making you a cornerstone of humanity's technological leap forward.
Responsibilities
- Design and implement quantum-enhanced neural networks for unsupervised learning systems
- Develop hybrid quantum-classical algorithms for real-time optimization challenges
- Lead R&D for Project Chronos' adaptive AI core architecture
- Collaborate with quantum hardware teams to co-design error-correction protocols
- Publish breakthrough research in top-tier quantum computing journals
- mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in tensor networks and quantum circuit optimization
- Experience with high-performance computing clusters (AWS Braket, IBM Q)
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Understanding of quantum error correction and fault-tolerant systems