Job Description
Shape the future with Nexus Quantum Labs – where 2026's most groundbreaking technologies come to life. We're pioneering quantum-AI convergence that will redefine computing as we know it. Join our elite team of visionaries in a state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors. This isn't just research – it's your chance to build the computational foundation for humanity's next evolutionary leap. If you thrive at the intersection of theoretical physics and applied machine learning, this is your moment to leave an indelible mark on history.
Responsibilities
- Architect and implement quantum machine learning algorithms for next-gen AI systems
- Lead cross-functional R&D initiatives in quantum neural networks and hybrid quantum-classical models
- Develop novel error-correction techniques for fault-tolerant quantum computing systems
- Collaborate with hardware teams to optimize quantum-AI integration protocols
- Publish breakthrough research in Nature/Science journals and lead industry summits
- Mentor PhD researchers and drive quantum computing education initiatives
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics
- 3+ years of hands-on quantum algorithm development using Qiskit/Cirq
- Expertise in quantum machine learning frameworks (e.g., TensorFlow Quantum)
- Publication record in top-tier quantum/AI conferences (QIP, NeurIPS)
- Deep understanding of quantum error correction and fault tolerance
- Proficiency in Python, C++, and quantum circuit optimization
- Demonstrated ability to translate theoretical concepts into scalable prototypes