Job Description
Join Nexus Labs at the forefront of technological innovation as we pioneer the next generation of quantum-AI hybrid systems. Our multidisciplinary team is developing revolutionary solutions for climate modeling, drug discovery, and computational optimization. This role offers unparalleled opportunities to shape the future of artificial intelligence while working alongside Nobel laureates and industry pioneers.
We provide a cutting-edge research environment with state-of-the-art quantum computing resources, flexible work arrangements, and comprehensive benefits including equity participation. If you're passionate about solving humanity's greatest challenges through computational breakthroughs, this is your moment to make history.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex data modeling
- Lead cross-functional projects integrating quantum computing with deep neural networks
- Develop scalable solutions for real-time quantum error correction protocols
- Collaborate with hardware teams to optimize quantum-AI system performance
- Publish groundbreaking research in top-tier scientific journals and conferences
- Secure research grants and intellectual property for proprietary innovations
- Mentor junior researchers and foster a culture of scientific excellence
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in deep learning frameworks (TensorFlow, PyTorch) and high-performance computing
- Proven track record of publishing peer-reviewed research in quantum/AI domains
- Strong background in linear algebra, quantum mechanics, and information theory
- Demonstrated ability to secure competitive research funding (NSF, NIH, DARPA)
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)