Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that merge quantum computing with machine learning, pushing the boundaries of computational possibility. Our interdisciplinary team operates from a state-of-the-art facility in San Francisco's innovation corridor, collaborating with Fortune 500 partners to commercialize breakthrough applications in drug discovery, climate modeling, and materials science.
We offer competitive equity packages, flexible hybrid work arrangements, and access to our quantum simulation cloud platform. Shape the future of technology while advancing your career in an environment that values intellectual curiosity and disruptive innovation.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world problem domains
- Develop hybrid quantum-classical neural network architectures using Qiskit and TensorFlow Quantum
- Collaborate with hardware teams to optimize quantum circuit performance on superconducting processors
- Publish peer-reviewed research and present findings at premier conferences (QIP, NeurIPS)
- Lead cross-functional projects translating theoretical models into production-ready solutions
- Mentor junior researchers and contribute to open-source quantum-AI frameworks
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Strong background in machine learning frameworks (PyTorch, TensorFlow) with 3+ years applied experience
- Publication record in quantum computing or quantum machine learning journals/conferences
- Expertise in quantum error correction and fault-tolerant computing principles
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Ability to translate complex theoretical concepts into practical implementations