Job Description
Join NexusLabs at the forefront of technological evolution as we pioneer the intersection of quantum computing and artificial intelligence for 2026 and beyond. As a Quantum AI Research Scientist, you'll design next-generation algorithms that redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough applications.
We're seeking visionary minds to develop quantum machine learning models, optimize quantum neural networks, and solve previously unsolvable problems in cryptography, drug discovery, and climate modeling. This role offers competitive equity packages, flexible work arrangements, and direct collaboration with Nobel laureates and industry pioneers.
Responsibilities
- Design and implement quantum algorithms leveraging AI/ML frameworks for 2026-era applications
- Lead research on quantum neural network architectures and optimization techniques
- Collaborate with hardware teams to develop hybrid quantum-classical computing solutions
- Publish groundbreaking research in top-tier journals and conferences
- Secure research grants and patents for novel quantum AI methodologies
- Mentor junior researchers and cross-functional engineering teams
- Develop roadmaps for integrating quantum AI into enterprise systems
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and algorithm design
- Published research in quantum machine learning or quantum information theory
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate complex technical concepts for diverse stakeholders