Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the intersection of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Scientist to architect the next generation of computational paradigms. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough quantum neural networks, pushing the boundaries of what's possible in 2026 and beyond. Our state-of-the-art lab in San Francisco offers unparalleled resources, including access to 1000-qubit processors and a $50M R&D budget. We provide comprehensive benefits, equity packages, and flexible work arrangements for top-tier talent.
Responsibilities
- Design and implement quantum neural networks for complex optimization problems
- Develop hybrid quantum-classical algorithms for real-world AI applications
- Lead cross-functional teams in prototyping quantum machine learning frameworks
- Conduct cutting-edge research in quantum error correction and fault tolerance
- Translate theoretical quantum models into scalable production systems
- Publish findings in top-tier journals and present at global tech conferences
- Collaborate with government and industry partners on quantum security initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 5+ years experience in quantum algorithm development or quantum machine learning
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and frameworks
- Strong publication record in quantum computing or AI research
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to lead complex R&D projects and mentor researchers
- Knowledge of quantum hardware architectures (superconducting, trapped ions)