Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing. As a Quantum AI Research Scientist, you'll develop next-gen algorithms at the intersection of quantum mechanics and artificial intelligence. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research with real-world applications in cryptography, materials science, and climate modeling.
Be part of a team that's building the computational backbone for humanity's next decade. We offer competitive compensation, comprehensive benefits, and the opportunity to publish in top-tier journals while contributing to projects that will shape 2026's technological landscape.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computing challenges
- Lead research in quantum neural networks and hybrid quantum-classical systems
- Collaborate with hardware engineers to optimize quantum algorithm performance
- Develop secure quantum-resistant encryption protocols for post-quantum era
- Publish findings in leading scientific journals and present at international conferences
- Mentor junior researchers and drive innovation in quantum-AI integration
- Secure external funding through NSF and DARPA grants
Qualifications
- PhD in Quantum Computing, Computer Science, Physics, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Expertise in Python, Qiskit, and quantum programming frameworks
- Published research in quantum computing or AI (NeurIPS, QIP, or equivalent)
- Strong background in linear algebra, quantum mechanics, and machine learning
- Experience with high-performance computing clusters and cloud platforms
- Proven ability to translate theoretical concepts into practical implementations
- Passion for ethical AI and quantum computing applications