Job Description
Join Nexus Future Labs at the frontier of technological evolution. We're seeking visionary Quantum AI Researchers to pioneer breakthroughs that will define 2026 and beyond. Our state-of-the-art facility in San Francisco's tech epicenter offers unparalleled resources to transform theoretical concepts into reality. You'll collaborate with Nobel laureates and industry disruptors while shaping the next generation of computational paradigms. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets for revolutionary projects.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Publish groundbreaking research in top-tier journals and industry whitepapers
- Secure federal and private funding for next-gen AI-quantum integration projects
- Mentor junior researchers in emerging quantum neural network architectures
- Collaborate with hardware teams to optimize quantum hardware-software interfaces
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years experience with quantum algorithms and error correction techniques
- Proficiency in Python, Qiskit, TensorFlow Quantum, and high-performance computing
- Published research in quantum AI or top-tier ML conferences (NeurIPS, ICML, etc.)
- Deep understanding of quantum advantage in optimization and NLP problems
- Experience securing grants from NSF, DARPA, or similar institutions
- Track record of translating theoretical research into scalable solutions