Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems. We're seeking visionary researchers to develop next-gen algorithms that bridge quantum computing and artificial intelligence. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical breakthroughs into practical applications.
Be part of a diverse team tackling humanity's grandest challenges—from climate modeling to drug discovery—with cutting-edge quantum processors. Enjoy flexible work arrangements, competitive equity packages, and dedicated R&D budgets. Shape the future of computational science while accelerating your career in one of tech's most explosive growth sectors.
Responsibilities
- Design and implement quantum machine learning algorithms for complex system optimization
- Collaborate with hardware engineers to prototype quantum-AI hybrid architectures
- Lead research publications in top-tier journals and conferences
- Develop error-correction protocols for noisy quantum systems
- Mentor junior researchers and cross-functional innovation teams
- Secure patents for novel quantum-AI methodologies
- Interface with industry partners to commercialize breakthrough technologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum computing or AI (arXiv, Nature, IEEE)
- Experience with superconducting or ion-trap quantum hardware
- Expertise in high-performance computing and parallel processing