Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into groundbreaking innovations. Collaborate with Nobel laureates and industry disruptors in an environment where curiosity drives progress. We provide comprehensive benefits including equity, flexible work arrangements, and dedicated R&D budgets.
Responsibilities
- Design and implement quantum machine learning frameworks for real-world applications
- Develop hybrid quantum-classical algorithms for optimization and simulation
- Lead experimental validation of quantum AI models using 128+ qubit systems
- Author peer-reviewed publications and patent novel quantum methodologies
- Mentor junior researchers and cross-functional technical teams
- Secure federal and private research funding through compelling proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch/TensorFlow)
- Published research in quantum algorithms or quantum machine learning
- Strong background in linear algebra, quantum mechanics, and information theory
- Experience with high-performance computing environments
- Proven ability to translate complex technical concepts for diverse audiences