Job Description
Join Nexus Quantum Systems at the forefront of 2026's technological revolution! We're pioneering quantum-AI fusion systems that will redefine computing paradigms. As a Quantum AI Research Scientist, you'll develop novel algorithms merging quantum mechanics with machine learning, pushing the boundaries of computational power. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough applications. Shape the future of artificial intelligence and quantum computing in an environment that values innovation, collaboration, and intellectual curiosity.
Responsibilities
- Design and implement quantum-enhanced machine learning models for real-world applications
- Lead cross-functional teams in developing hybrid quantum-classical computing architectures
- Conduct cutting-edge research in quantum neural networks and algorithm optimization
- Collaborate with hardware engineers to optimize quantum-AI system performance
- Publish findings in top-tier journals and present at international conferences
- Secure and manage research grants from government and private sector partners
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum algorithms (Qiskit, Cirq, or similar)
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and Python
- Proven track record of publishing high-impact research in quantum-AI
- Strong background in linear algebra, probability, and computational complexity
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)