Job Description
Shape the future of artificial intelligence with quantum supremacy at Nexus Quantum Labs. We're pioneering hybrid quantum-AI systems that will revolutionize computational capabilities by 2026. Join our elite team of visionaries developing next-gen algorithms for machine learning optimization, cryptography, and complex system modeling. Work with state-of-the-art quantum hardware and collaborate with Nobel laureates in our downtown San Francisco innovation hub. This is your opportunity to solve humanity's most pressing challenges through quantum-AI fusion.
Responsibilities
- Design and implement quantum algorithms for advanced machine learning models
- Develop hybrid quantum-classical computing frameworks for enterprise applications
- Lead research initiatives in quantum neural networks and quantum-enhanced data analysis
- Collaborate with hardware engineers to optimize quantum circuit performance
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Translate theoretical models into scalable production-ready quantum-AI solutions
- Mentor junior researchers and contribute to open-source quantum-AI libraries
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and classical algorithm optimization
- Strong mathematical foundations in linear algebra, probability, and quantum mechanics
- Published research in quantum computing or quantum machine learning
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Proven ability to lead complex technical projects from conception to deployment