Job Description
Join Nexus Labs at the forefront of quantum-AI convergence in 2026. We're pioneering next-generation computational paradigms that will redefine machine learning capabilities. Our multidisciplinary team collaborates across quantum physics, advanced algorithms, and neuromorphic computing to solve previously impossible challenges in cryptography, drug discovery, and climate modeling.
As a Quantum AI Researcher, you'll develop hybrid quantum-classical frameworks, optimize neural networks for quantum processors, and publish breakthrough research in top-tier journals. We offer competitive equity packages, flexible work arrangements, and access to our state-of-the-art quantum simulation lab.
Responsibilities
- Design and implement quantum-inspired machine learning algorithms
- Develop error-corrected neural networks for quantum hardware
- Create hybrid quantum-classical optimization frameworks
- Lead cross-functional research initiatives with physicists and ML engineers
- Author patents and publish in Nature/Science journals
- Advise product teams on quantum-computational applications
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics
- 3+ years experience with quantum algorithms or quantum machine learning
- Proficiency in Python, Qiskit, and TensorFlow Quantum
- Publication record in top-tier AI/quantum journals
- Expertise in quantum error correction techniques
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Strong background in linear algebra and probability theory