Job Description
Join Nexus Future 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 Scientist, you'll architect breakthrough algorithms that redefine computational boundaries. Our state-of-the-art facility in San Francisco's Tech District offers an unparalleled environment for innovation, with dedicated quantum labs, AI supercomputers, and collaborative spaces where visionary minds shape tomorrow.
We provide comprehensive benefits including equity packages, wellness stipends, and flexible remote options. Our culture values intellectual curiosity and rapid prototyping – perfect for those who thrive on pushing scientific frontiers.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI systems
- Lead cross-functional research projects combining quantum physics and deep learning
- Develop error-correction protocols for quantum neural networks
- Collaborate with hardware engineers to optimize quantum-AI hybrid systems
- Publish findings in top-tier journals and present at international conferences
- Secure R&D funding through grant applications and industry partnerships
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum algorithms and quantum machine learning frameworks
- Proficiency in Python with quantum libraries (Qiskit, Cirq, PennyLane)
- Published research in quantum computing or AI (Nature/Science/IEEE)
- Experience with NISQ-era hardware and quantum annealing systems
- Strong background in linear algebra, probability theory, and information theory
- Demonstrated ability to translate theoretical concepts into practical implementations