Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution as a Quantum AI Research Engineer. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this role, you'll architect next-gen algorithms that transcend classical computing limits, contributing to breakthroughs in drug discovery, climate modeling, and autonomous systems. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world solutions.
As part of our elite Future Technologies division, you'll collaborate with Nobel laureates and industry disruptors to shape the technological landscape of tomorrow. We offer competitive equity packages, flexible hybrid work arrangements, and dedicated innovation time for personal research projects. This isn't just a job—it's your chance to redefine the boundaries of what's possible.
Responsibilities
- Design and implement quantum machine learning algorithms leveraging Qiskit and Cirq frameworks
- Develop hybrid quantum-classical models for optimization problems in logistics and finance
- Create fault-tolerant quantum circuits for AI training acceleration
- Lead cross-functional teams to integrate quantum solutions into existing AI pipelines
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Secure patents for novel quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (MS with 5+ years experience)
- Expertise in quantum algorithms (VQE, QAOA, quantum neural networks)
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages
- Published research in quantum machine learning or AI (arXiv, IEEE, Nature)
- Experience with superconducting or photonic quantum computing platforms
- Strong background in linear algebra, probability, and information theory
- Demonstrated ability to translate complex mathematical concepts into practical implementations