Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems to solve humanity's grand challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that fuse quantum computing with machine learning, pushing the boundaries of computational possibility. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough applications.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Develop hybrid quantum-classical neural network architectures
- Collaborate with physicists to translate quantum phenomena into computational models
- Lead experimental validation of quantum AI prototypes using D-Wave and IBM systems
- Publish high-impact research in top-tier journals and conferences
- Secure and manage quantum computing research grants
- Mentor junior researchers in quantum programming (Qiskit, Cirq)
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (Master's with 5+ years experience)
- Expertise in quantum algorithms (Shor, Grover, VQE)
- Proficiency in Python, Qiskit, and cloud quantum platforms
- Published research in quantum machine learning or related fields
- Strong background in linear algebra, probability, and information theory
- Experience with superconducting or photonic quantum systems
- Track record of securing research funding