Job Description
Join Nexus Quantum Labs at the frontier of computational innovation. We're seeking a visionary Quantum AI Research Engineer to architect the next generation of hybrid quantum-classical intelligence systems. In this pivotal role, you'll collaborate with Nobel laureates and industry pioneers to transform theoretical quantum computing into practical AI breakthroughs. Our San Francisco headquarters features state-of-the-art quantum hardware and a culture where curiosity drives progress. What you'll achieve: Design quantum neural networks, optimize machine learning algorithms for quantum advantage, and publish groundbreaking research that reshapes the technological landscape.
Responsibilities
- Develop quantum-enhanced machine learning models for real-world applications
- Architect hybrid quantum-classical computing architectures
- Optimize quantum algorithms for AI training and inference
- Lead cross-functional research initiatives with quantum hardware teams
- Translate theoretical quantum computing concepts into deployable solutions
- Author peer-reviewed publications and patents in quantum AI
- Mentor junior researchers in quantum programming paradigms
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Proven track record in quantum machine learning algorithms
- Strong background in linear algebra, quantum mechanics, and complexity theory
- Experience with quantum error correction and fault-tolerant systems
- Publication record in top-tier quantum computing/AI venues
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing