Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI fusion systems for 2026. We seek a visionary Quantum AI Research Engineer to develop next-generation computational frameworks that will redefine industries. This role offers unparalleled opportunities to work with Nobel laureates and deploy solutions in healthcare, climate modeling, and autonomous systems. Our state-of-the-art facility in San Francisco provides an incubator for groundbreaking research with competitive compensation and equity.
Responsibilities
- Design and implement quantum machine learning algorithms for complex data processing
- Collaborate with cross-functional teams to deploy AI models on quantum computing platforms
- Lead research initiatives in quantum error correction and neural network optimization
- Develop prototype systems for real-world problem-solving in emerging tech sectors
- Publish findings in top-tier journals and present at global tech conferences
- Mentor junior researchers and drive innovation in quantum-AI integration
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (MS with exceptional experience considered)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or similar)
- Expertise in deep learning architectures and high-performance computing
- Published research in quantum machine learning or quantum information theory
- Strong proficiency in Python, TensorFlow/PyTorch, and quantum hardware interfaces
- Proven ability to translate theoretical concepts into practical implementations
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)