Job Description
Join Nexus Quantum Systems at the forefront of technological evolution as we pioneer the next generation of AI-quantum hybrid systems. Our 2026 Initiative seeks visionary researchers to develop breakthrough algorithms that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art labs, leveraging 10,000-qubit processors to solve humanity's most complex challenges.
We offer unparalleled resources, including dedicated quantum computing clusters and unlimited research budgets. Your work will directly impact fields from climate modeling to personalized medicine, with patent ownership and publication opportunities in top-tier journals.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI systems
- Lead cross-functional teams of physicists, engineers, and data scientists
- Develop error-correction protocols for quantum-neural network hybrids
- Secure $2M+ in research grants for 2026 initiative projects
- Author white papers and peer-reviewed publications on quantum-AI convergence
- Mentor PhD researchers in quantum computing methodologies
- Collaborate with hardware teams to optimize quantum-AI integration
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 5+ years developing quantum algorithms or advanced AI systems
- Published research in Nature/Science or equivalent tier journals
- Expertise in Python, TensorFlow Quantum, and quantum circuit design
- Experience with superconducting qubit architectures or trapped ions
- Proven track record of securing federal research grants
- Deep understanding of quantum error correction and fault tolerance
- Strong background in linear algebra and quantum information theory