Job Description
Join the quantum revolution at Nexus Quantum Solutions, where we're pioneering the next frontier of computational intelligence. As a Quantum AI Researcher, you'll architect breakthrough algorithms that merge quantum mechanics with artificial intelligence to solve humanity's most complex challenges. Our state-of-the-art lab in San Francisco's tech epicenter offers unparalleled resources to transform theoretical physics into practical applications.
We're seeking visionary minds to develop quantum neural networks, optimize machine learning models through quantum advantage, and collaborate with Nobel laureates on projects that will define 2026's technological landscape. If you're driven to push beyond classical computing limits and shape the future of AI, this is your moment.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Develop hybrid quantum-classical neural network architectures
- Optimize quantum circuits for AI training and inference tasks
- Collaborate with physicists to model quantum phenomena for AI applications
- Lead research on quantum advantage in natural language processing
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in machine learning and deep learning architectures
- Proficiency in Python, C++, and quantum circuit optimization
- Experience with quantum error correction and fault-tolerant systems
- Published research in quantum machine learning or related fields
- Ability to translate complex quantum concepts into practical AI solutions