Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs in computational intelligence. In this role, you'll architect next-generation quantum neural networks that solve previously unsolvable problems in cryptography, drug discovery, and climate modeling. Our state-of-the-art facility in San Francisco houses the world's most advanced quantum processors, offering unparalleled resources for your research.
You'll collaborate with Nobel laureates and industry disruptors to translate quantum theory into real-world applications. This is more than a job—it's your chance to shape the very fabric of tomorrow's digital landscape. We offer competitive equity packages, flexible research schedules, and funding for your groundbreaking projects.
Responsibilities
- Design and implement quantum neural networks for AI optimization tasks
- Develop novel quantum algorithms for machine learning acceleration
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Publish research in top-tier journals and present at global conferences
- Secure grants and partnerships with quantum hardware providers
- Mentor PhD candidates in quantum machine learning methodologies
- Translate theoretical models into scalable production-ready solutions
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in quantum error correction and fault-tolerant systems
- Published research in quantum machine learning or quantum algorithms
- Proficiency in Python, TensorFlow/PyTorch, and HPC environments
- Demonstrated ability to secure research funding (NSF, DARPA, etc.)
- Strong background in linear algebra, information theory, and complexity