Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen neural networks operating in quantum states, pushing beyond classical computing boundaries. Our state-of-the-art lab in San Francisco offers unmatched resources to transform theoretical breakthroughs into real-world applications. Collaborate with Nobel laureates and disrupt industries from climate modeling to drug discovery.
What you'll achieve: Design quantum algorithms that outperform classical systems by 10,000x. Lead projects with global impact while enjoying industry-leading benefits and equity.
Responsibilities
- Develop hybrid quantum-classical neural networks for super-intelligent AI systems
- Implement error-corrected qubit architectures for scalable quantum computing
- Lead cross-functional teams to deploy quantum-AI solutions in healthcare and logistics
- Research novel quantum machine learning algorithms for predictive modeling
- Optimize quantum circuit designs for real-time data processing
- Secure patents for proprietary quantum-AI methodologies
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years in quantum computing with demonstrated qubit manipulation expertise
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
- Publication record in top-tier quantum/AI journals (Nature, Science, etc.)
- Deep understanding of quantum error correction protocols
- Experience with high-performance computing architectures
- Strong background in machine learning and neural networks
- Ability to translate complex quantum concepts into practical applications