Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Lead, you'll architect next-generation algorithms that redefine computational boundaries while mentoring a world-class team of quantum engineers. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research, including access to 512-qubit processors and exascale computing clusters. We offer competitive compensation, comprehensive benefits, and the opportunity to shape the future of technology.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams in developing fault-tolerant quantum neural networks
- Collaborate with hardware engineers to optimize quantum-AI hybrid systems
- Publish groundbreaking research in top-tier journals and conferences
- Secure federal and private research grants totaling $5M+
- Develop quantum security protocols for post-quantum cryptography
- Mentor PhD researchers and quantum software engineers
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 5+ years of experience in quantum algorithm development
- Expertise in Qiskit, Cirq, or similar quantum frameworks
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python, C++, and high-performance computing
- Strong background in linear algebra and quantum mechanics
- Experience with cloud quantum computing platforms (AWS Braket, Azure Quantum)
- Track record of securing research funding