Job Description
Join Nexus Quantum Systems at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-generation algorithms for quantum machine learning, cryptography, and computational optimization. Our state-of-the-art lab in San Francisco offers unparalleled resources to turn theoretical breakthroughs into real-world applications. This is your chance to shape humanity's digital future.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world problem-solving
- Lead cross-functional teams in developing quantum-AI hybrid frameworks
- Conduct cutting-edge research in quantum computing optimization techniques
- Publish findings in top-tier journals and present at global tech symposiums
- Collaborate with hardware engineers to bridge quantum theory and practical implementation
- Secure intellectual property through patent development
- Mentor junior researchers and foster innovation culture
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning algorithms (TensorFlow, PyTorch, scikit-learn)
- Published research in quantum computing or quantum information theory
- Strong mathematical foundations in linear algebra, probability, and quantum mechanics
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to translate complex theoretical concepts into practical applications