Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As our Quantum AI Research Lead, you'll architect next-gen algorithms that redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
We value audacious thinkers who thrive at the intersection of physics, computer science, and machine learning. This role offers equity, flexible work arrangements, and the opportunity to shape the future of human-computer symbiosis.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models
- Lead cross-functional teams in developing error-corrected quantum neural networks
- Collaborate with hardware teams to optimize quantum-AI co-design architectures
- Publish breakthrough research in top-tier journals and conferences
- Secure federal and private research grants for emerging quantum-AI applications
- Mentor PhD researchers in quantum information theory and AI ethics
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and quantum frameworks (Qiskit, Cirq)
- Deep understanding of quantum error correction and fault-tolerant systems
- Proven track record leading high-impact R&D projects with measurable outcomes
- Strong background in AI ethics and responsible innovation frameworks
- Experience securing government research grants (NSF, DARPA, etc.)