Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence 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 push the boundaries of computational possibility. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture of radical innovation. If you're passionate about shaping the future of intelligent systems, this is your moment to make an indelible impact.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical neural networks using cutting-edge frameworks
- Optimize quantum circuits for error mitigation and scalability
- Collaborate with cross-functional teams to translate research into production-ready solutions
- Lead open-source contributions to quantum AI libraries and tools
- Author breakthrough research papers for top-tier publications and conferences
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and classical AI
- Published research in quantum machine learning or quantum information theory
- Experience with superconducting quantum processors or trapped ion systems
- Strong background in linear algebra, probability, and algorithm design
- Ability to thrive in fast-paced, experimental research environments