Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're seeking a pioneering Quantum AI Researcher to architect the next generation of intelligent systems. This role bridges quantum computing and artificial intelligence to solve previously unsolvable challenges in climate modeling, drug discovery, and autonomous systems.
Our Silicon Valley hub offers unparalleled resources—including a 128-qubit quantum processor and petabyte-scale AI infrastructure. You'll collaborate with Nobel laureates and industry disruptors in an environment where theoretical breakthroughs become commercial realities within months.
What You'll Impact:
- Revolutionary quantum neural networks for real-time climate prediction
- Autonomous AI systems with human-level reasoning capabilities
- Breakthrough algorithms for quantum-resistant cryptography
Responsibilities
- Design and implement quantum machine learning algorithms using Qiskit and Cirq
- Lead cross-functional teams in developing hybrid quantum-classical AI systems
- Publish peer-reviewed research in Nature Quantum and IEEE journals
- Optimize quantum circuits for error-corrected AI workloads
- Develop patent-pending methodologies for quantum neural networks
- Mentor PhD candidates in quantum AI research initiatives
- Present findings at global conferences including Q2B and NeurIPS
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- Expertise in quantum algorithms and quantum error correction
- Proficiency with Python, TensorFlow Quantum, and D-Wave systems
- Published research in top-tier quantum/AI publications
- Experience with large-scale distributed computing frameworks
- Deep understanding of quantum entanglement and superposition principles
- Track record of translating theoretical research into production systems
- Strong background in linear algebra and probability theory