Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges by 2026. As a Quantum AI Research Scientist, 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 for breakthrough research, including access to quantum processors and collaborative AI frameworks. This role represents a rare opportunity to shape the technological landscape of the next decade while working alongside Nobel laureates and industry visionaries.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Lead cross-functional R&D projects targeting 2026 breakthrough milestones
- Develop hybrid quantum-classical neural architectures
- Collaborate with hardware teams to optimize quantum-AI integration
- Publish high-impact research in top-tier journals/conferences
- Secure external funding through NSF/NIH/DoE grants
- Mentor junior researchers in emerging quantum-AI paradigms
Qualifications
- PhD in Quantum Computing, AI, or related computational field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Publication record in quantum machine learning or quantum computing
- Strong background in linear algebra, probability, and information theory
- Experience with high-performance computing and distributed systems
- Demonstrated ability to translate theoretical concepts into practical implementations