Job Description
Join Nexus Quantum Solutions at the forefront of 2026's technological revolution. We're pioneering the convergence 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 push the boundaries of computational possibility. Our state-of-the-art lab in downtown San Francisco offers unparalleled resources and a collaborative environment where your innovations will shape industries from healthcare to climate modeling. We provide competitive equity packages, flexible work arrangements, and opportunities to publish groundbreaking research in partnership with MIT and Stanford.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams of physicists, engineers, and data scientists
- Develop error-correction protocols for quantum neural networks
- Collaborate with industry partners to prototype quantum-AI hybrid solutions
- Secure federal and private research grants for quantum initiatives
- Present findings at international conferences and peer-reviewed journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years of hands-on quantum algorithm development
- Expertise in Python, Qiskit, and quantum circuit optimization
- Published research in quantum machine learning or quantum supremacy
- Experience with superconducting or photonic quantum systems
- Strong background in tensor networks and quantum information theory
- Proven ability to secure $500K+ in research funding