Job Description
Join Nexus Quantum Labs 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 our Quantum AI Research Lead, you'll architect next-gen algorithms that redefine computational boundaries while mentoring a world-class team in our state-of-the-art San Francisco lab.
This role offers unparalleled opportunities to shape the future of technology through groundbreaking research, industry partnerships with Fortune 500 innovators, and equity in a rapidly scaling unicorn. Our culture values bold thinking, rapid iteration, and the audacity to imagine beyond current paradigms.
Responsibilities
- Design and implement hybrid quantum-classical AI frameworks for 2026-era applications
- Lead cross-functional teams in developing error-corrected quantum neural networks
- Establish research partnerships with MIT, Stanford, and CERN quantum initiatives
- Translate theoretical quantum advantage into practical enterprise solutions
- Secure $5M+ in DARPA/NASA grants for frontier quantum AI research
- Author breakthrough publications in Nature Quantum and IEEE journals
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 5+ years of hands-on experience with quantum circuit design using Qiskit/PennyLane
- Published research in top-tier quantum/AI conferences (QIP, NeurIPS)
- Expertise in tensor networks and quantum error correction protocols
- Proficiency in Python/C++ with quantum simulation frameworks
- Track record of securing government research grants
- Deep understanding of quantum-classical hybrid architectures
- Experience mentoring postdoctoral researchers