Job Description
Shape the technological frontier as a Senior Quantum AI Researcher at Nexus Quantum Labs. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. Join our multidisciplinary team at the intersection of physics, computer science, and machine learning to develop next-generation algorithms that redefine computational possibilities.
Our state-of-the-art research facility in San Francisco offers unparalleled resources for experimental quantum systems and AI development. This role provides the opportunity to publish groundbreaking research, collaborate with Nobel laureates, and directly influence the trajectory of 2026's technological landscape.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for optimization problems
- Lead R&D initiatives in quantum neural networks and quantum-enhanced deep learning
- Develop novel quantum algorithms for real-world AI applications in finance, healthcare, and logistics
- Collaborate with quantum hardware teams to optimize AI workloads for quantum processors
- Mentor junior researchers and publish findings in top-tier scientific journals
- Secure research funding through grant proposals and industry partnerships
- Contribute to open-source quantum AI frameworks and tools
Qualifications
- PhD in Quantum Computing, Machine Learning, Physics, or Computer Science
- 5+ years of experience in quantum algorithm development or advanced AI research
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum information theory
- Strong mathematical foundation in linear algebra, probability, and quantum mechanics
- Experience with high-performance computing and distributed systems
- Demonstrated ability to translate theoretical concepts into practical implementations
- Collaborative mindset with proven cross-disciplinary teamwork experience