Job Description
Join the forefront of technological revolution at Nexus Quantum Labs, where we're pioneering the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical quantum principles into practical AI solutions that will shape 2026's digital landscape.
We're seeking visionary minds passionate about solving humanity's most complex challenges through quantum machine learning. This role offers competitive equity packages, flexible work arrangements, and exposure to groundbreaking research with global impact.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop hybrid quantum-classical neural network architectures
- Collaborate with cross-functional teams to translate quantum models into production-ready AI systems
- Lead quantum circuit optimization for real-time data processing applications
- Contribute to peer-reviewed research publications and patent filings
- Mentor junior researchers in quantum computing methodologies
- Stay current with emerging quantum hardware developments and software frameworks
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience considered)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Deep understanding of quantum algorithms and error correction techniques
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Experience with high-performance computing and parallel processing
- Publication record in quantum computing or AI research
- Ability to communicate complex quantum concepts to technical and non-technical stakeholders