Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computing paradigms. As a Quantum AI Research Engineer, you'll architect next-gen algorithms for our flagship 'Project Chronos' platform, developing solutions that solve previously impossible computational challenges in cryptography, materials science, and climate modeling. Our state-of-the-art lab in San Francisco offers unparalleled resources for experimentation and collaboration with Nobel laureates and industry pioneers.
Responsibilities
- Design and implement quantum machine learning models leveraging 50+ qubit processors
- Develop hybrid quantum-classical algorithms for real-time data processing
- Optimize quantum circuits for error correction and scalability beyond NISQ limitations
- Lead cross-functional teams in prototyping breakthrough applications
- Publish peer-reviewed research in top-tier journals/conferences
- Secure patents for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Proven track record of implementing quantum algorithms on real hardware
- Deep understanding of tensor networks and quantum error correction
- Strong background in machine learning frameworks (PyTorch/TensorFlow)
- Published research in Nature/Science or equivalent tier
- Ability to work in cryogenic lab environments