Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing paradigms. As a Quantum AI Research Engineer, you'll develop next-gen algorithms merging quantum mechanics with machine learning, solving problems previously deemed impossible. Our state-of-the-art facility in San Francisco's Innovation District offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Develop hybrid quantum-classical neural networks for real-time data processing
- Lead research on quantum error correction for fault-tolerant AI systems
- Collaborate with Nobel laureates and MIT/Stanford fellows on quantum-AI convergence
- Publish breakthrough research in Nature/Science journals
- Secure $10M+ in government grants for quantum-AI initiatives
- Mentor PhD candidates in quantum machine learning
Qualifications
- PhD in Quantum Computing, AI, or related field (2020-2026 graduates preferred)
- Expertise in Qiskit, Cirq, or quantum circuit optimization
- Proven experience with transformer architectures and deep learning frameworks
- Published work in quantum machine learning or top-tier AI conferences
- Strong background in linear algebra, quantum mechanics, and probability
- Proficiency in Python, C++, and high-performance computing
- Experience with quantum hardware (IBM Quantum, Rigetti, or IonQ)