Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries. Our state-of-the-art quantum lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications. We offer competitive equity packages, flexible hybrid work, and continuous learning stipends to fuel your growth in this rapidly advancing field.
Responsibilities
- Design and implement quantum machine learning algorithms for computational optimization
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Author peer-reviewed research publications and present at international conferences
- Collaborate with hardware teams to optimize quantum circuit architectures
- Identify and solve novel mathematical problems in quantum information theory
- Drive innovation in quantum neural networks for pattern recognition
- Secure research funding through NSF and DARPA grant applications
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development
- Expertise in Python/C++ with quantum computing frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or quantum information theory
- Strong background in linear algebra, probability, and statistical mechanics
- Experience with superconducting or photonic quantum systems
- Demonstrated ability to lead technical research initiatives