Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking a visionary Quantum AI Research Engineer to develop groundbreaking algorithms that will redefine computational capabilities by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab, where you'll shape the future of machine learning and quantum systems.
Responsibilities
- Design and implement quantum machine learning models for complex data optimization
- Lead cross-functional teams in developing hybrid quantum-classical computing architectures
- Research novel error correction techniques for quantum neural networks
- Develop scalable algorithms for quantum-resistant cryptography systems
- Present findings at premier conferences and publish in top-tier journals
- Collaborate with hardware teams to optimize quantum circuit implementations
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and algorithm optimization
- Strong background in linear algebra, probability theory, and quantum mechanics
- Published research in quantum machine learning or quantum information theory
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)