Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI integration that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen systems merging quantum computing with artificial intelligence, solving previously unsolvable problems in cryptography, material science, and autonomous systems. Our state-of-the-art facility in San Francisco's innovation hub offers unparalleled resources for groundbreaking research.
What we offer:
- Competitive equity package in a pre-IPO unicorn
- Access to quantum hardware via industry partnerships
- Collaborative environment with Nobel laureates and Turing Award winners
- Flexible hybrid work with quarterly innovation retreats
- Comprehensive health and wellness benefits
Responsibilities
- Design and implement quantum algorithms for AI model acceleration
- Develop hybrid quantum-classical neural network architectures
- Lead cross-functional projects with physics, ML, and security teams
- Author peer-reviewed research publications in top-tier journals
- Secure patents for novel quantum-AI methodologies
- Mentor junior researchers in quantum machine learning
- Collaborate with hardware teams to optimize quantum circuit designs
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Experience with GPU/TPU acceleration frameworks (PyTorch, TensorFlow)
- Deep understanding of quantum error correction and fault tolerance
- Strong background in linear algebra, probability, and information theory
- Demonstrated ability to translate complex research into practical applications