Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications. Collaborate with Nobel laureates and disrupt innovators in an environment where curiosity fuels progress. If you're ready to shape the future of machine learning and quantum systems, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop hybrid quantum-classical neural networks for advanced predictive modeling
- Conduct cutting-edge research in quantum error correction and fault-tolerant computing
- Collaborate with cross-functional teams to integrate quantum solutions into production AI systems
- Publish breakthrough research in leading journals and present at global tech conferences
- Lead prototyping of quantum-accelerated deep learning frameworks
- Mentor junior researchers and contribute to open-source quantum AI initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 3+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Proven track record in developing scalable AI/ML models with Python, TensorFlow, or PyTorch
- Strong background in quantum information theory and quantum algorithms
- Experience with high-performance computing architectures and parallel processing
- Published research in quantum machine learning or related fields
- Ability to translate complex theoretical concepts into practical implementations