Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing and AI solutions for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to architect next-generation algorithms that will redefine industry standards. Our dynamic team operates at the intersection of quantum mechanics, machine learning, and computational theory, solving challenges previously deemed impossible.
As a key innovator in our San Francisco R&D hub, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum neural networks. We offer unparalleled resourcesâincluding 128-qubit quantum processors and petascale GPU clustersâpaired with a culture that values intellectual curiosity and bold experimentation.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Lead research on fault-tolerant quantum computing architectures
- Develop hybrid quantum-classical frameworks for real-world applications
- Publish breakthrough research in top-tier journals/conferences
- Mentor cross-functional teams in quantum AI implementation
- Secure $5M+ in government/private research grants
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction techniques
- Track record of translating theoretical models into functional prototypes
- Strong background in linear algebra, probability theory, and information theory