Job Description
Join Nexus Innovations at the forefront of 2026's quantum-AI revolution. We're pioneering the next generation of computational intelligence that will redefine industries. As a Quantum AI Research Scientist, you'll develop breakthrough algorithms in fault-tolerant quantum computing while integrating machine learning frameworks for real-world applications. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical models into scalable solutions.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Lead R&D projects in quantum neural networks and hybrid quantum-classical systems
- Collaborate with hardware teams to co-design quantum processors for AI workloads
- Develop error mitigation protocols for large-scale quantum computations
- Publish peer-reviewed research in top-tier AI/quantum journals
- Drive patent development for novel quantum-AI methodologies
- Mentor junior researchers in quantum machine learning best practices
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming languages (Qiskit, Cirq)
- Expertise in deep learning frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or NISQ-era algorithms
- Strong background in linear algebra, probability, and information theory
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate complex theoretical concepts into practical implementations