Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026 and beyond. We're seeking visionary research scientists to develop next-generation algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications.
This role combines cutting-edge quantum computing with advanced machine learning architectures, offering the opportunity to publish groundbreaking research while contributing to commercially viable solutions. We provide competitive equity packages, flexible work arrangements, and dedicated R&D funding.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams to integrate quantum processors with classical AI systems
- Develop novel error-correction techniques for quantum neural networks
- Collaborate with hardware engineers to optimize quantum-AI hybrid systems
- Publish high-impact research in peer-reviewed journals and conferences
- Secure federal and private funding for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years of experience in quantum algorithms or quantum machine learning
- Expertise in Python, Qiskit, and quantum circuit design
- Proven track record of publishing in top-tier quantum/AI journals
- Strong background in linear algebra, probability, and information theory
- Experience with distributed computing frameworks for quantum simulations
- Demonstrated ability to translate theoretical concepts into practical solutions