Job Description
Join Nexus Quantum Labs at the forefront of 2026's quantum-AI revolution. We're pioneering the next generation of quantum neural networks that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum algorithms for machine learning applications. Our state-of-the-art facility in San Francisco's Tech District offers unparalleled resources including quantum annealers, superconducting qubit arrays, and exascale computing clusters. This role offers equity, unlimited PTO, and the opportunity to publish groundbreaking research in Nature Physics. We're seeking visionaries who thrive at the intersection of quantum mechanics and artificial intelligence to solve humanity's most complex challenges.
Responsibilities
- Design and implement novel quantum neural network architectures for 2026-era AI systems
- Develop error-corrected quantum algorithms for machine learning optimization
- Collaborate with quantum hardware teams to prototype and validate new qubit technologies
- Create hybrid quantum-classical computing frameworks for real-world applications
- Lead research initiatives in quantum-enhanced deep learning and natural language processing
- Publish findings in top-tier journals and present at international quantum computing conferences
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years of research experience
- Expertise in quantum circuit design and quantum algorithm development
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Published work in quantum machine learning or quantum information theory
- Experience with superconducting qubit systems or quantum annealing platforms
- Demonstrated ability to translate complex quantum concepts into practical implementations