Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion solutions that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that leverage quantum entanglement for breakthrough machine learning applications. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world innovations.
We value audacious thinkers who thrive at the intersection of quantum physics and artificial intelligence. If you're passionate about solving humanity's most complex challenges through cutting-edge research, this is your opportunity to shape the future.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop hybrid quantum-classical computing frameworks for enterprise-scale AI applications
- Lead research initiatives in quantum neural networks and quantum-resistant cryptography
- Collaborate with multidisciplinary teams to prototype quantum-AI solutions
- Publish findings in leading scientific journals and present at international conferences
- Secure patents for novel quantum computing methodologies
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or quantum algorithms
- Proficiency in Python, TensorFlow/PyTorch, and low-level quantum hardware interfaces
- Demonstrated understanding of quantum error correction and fault-tolerant computing
- Experience with high-performance computing clusters and GPU acceleration
- Strong background in linear algebra, probability, and information theory