Job Description
Join Nexus Quantum Systems at the forefront of computational evolution. We're pioneering quantum-AI hybrid systems that will redefine 2026's technological landscape. Our interdisciplinary team develops fault-tolerant quantum processors integrated with next-generation neural networks. This role offers unparalleled opportunity to shape the algorithms powering humanity's next computing paradigm.
We provide competitive equity packages, cutting-edge lab access, and flexible remote options. Our culture emphasizes intellectual curiosity while delivering real-world impact on climate modeling, drug discovery, and materials science.
Responsibilities
- Design and implement quantum neural network architectures for hybrid computing systems
- Develop error-correction protocols for quantum-AI co-processing workflows
- Create simulation frameworks for quantum machine learning algorithms
- Lead cross-functional prototyping of quantum-accelerated AI models
- Collaborate with hardware teams on quantum processor optimization
- Publish peer-reviewed research in quantum computing journals
- Mentor junior researchers on quantum algorithm development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum circuit design and quantum machine learning frameworks
- Proficiency with Python, Qiskit, and TensorFlow Quantum
- Strong background in linear algebra, probability, and statistical modeling
- Experience with fault-tolerant quantum computing architectures
- Published research in quantum information science or related fields
- Ability to translate complex theoretical concepts into practical implementations