Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Engineers to pioneer breakthroughs in quantum machine learning algorithms and hybrid quantum-classical computing systems. This role offers unparalleled opportunities to shape the next generation of computational paradigms while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco innovation hub.
Our multidisciplinary teams work at the intersection of quantum physics, artificial intelligence, and distributed systems to solve humanity's most complex challenges. You'll develop novel quantum neural network architectures, optimize quantum error correction protocols, and create scalable frameworks for quantum-empowered AI applications.
Responsibilities
- Design and implement quantum machine learning algorithms for NLP and computer vision applications
- Develop hybrid quantum-classical neural network architectures
- Optimize quantum error correction protocols for practical deployment
- Create scalable frameworks for distributed quantum computing systems
- Lead research initiatives in quantum-empowered AI optimization
- Collaborate with hardware teams to bridge quantum software-hardware gaps
- Publish breakthrough research in leading quantum/AI journals
Qualifications
- PhD in Quantum Computing, Computer Science, or related field
- 3+ years experience in quantum algorithm development
- Expertise in Python, Qiskit, and quantum simulation frameworks
- Deep understanding of quantum machine learning principles
- Published research in quantum computing or AI conferences
- Proficiency in distributed systems and high-performance computing
- Strong background in linear algebra, probability theory, and quantum mechanics