Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine human-machine collaboration. As a Quantum AI Research Engineer, you'll architect next-gen neural networks operating in quantum superposition states, solving previously unsolvable computational challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources including 128-qubit quantum processors and exascale computing clusters. This isn't just a job—it's your chance to shape humanity's technological future.
We provide comprehensive benefits including equity, unlimited PTO, and relocation assistance for exceptional candidates. Our culture celebrates bold innovation while maintaining rigorous scientific integrity. If you're ready to push beyond classical computing paradigms, apply now to be part of the 2026 quantum frontier.
Responsibilities
- Design and implement hybrid quantum-classical AI algorithms for predictive modeling
- Develop error-correction protocols for quantum neural networks
- Collaborate with cross-disciplinary teams on quantum-ML integration projects
- Optimize quantum circuit architectures for deep learning applications
- Lead research publications in top-tier quantum computing journals
- Contribute to patent development for proprietary quantum-AI methodologies
- Mentor junior researchers in quantum machine learning principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum circuit design and quantum programming languages
- Proficiency in Python, TensorFlow/PyTorch, and quantum frameworks (Qiskit/Cirq)
- Published research in quantum machine learning or related fields
- Experience with quantum error correction and decoherence mitigation
- Strong background in linear algebra, probability theory, and quantum mechanics
- Demonstrated ability to translate theoretical concepts into practical implementations