Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI fusion systems. We're seeking visionary researchers to develop next-gen algorithms that will redefine computing paradigms. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where your work will directly impact humanity's digital future.
Responsibilities
- Design and implement hybrid quantum-AI algorithms for computational acceleration
- Lead cross-functional teams in prototyping 2026-era neural networks
- Develop error-correction protocols for quantum-AI hybrid systems
- Collaborate with hardware teams to optimize quantum-AI interfaces
- Publish breakthrough research in top-tier journals and conferences
- Secure $5M+ in government and private research funding
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- 3+ years experience in quantum machine learning or quantum algorithms
- Proficiency in Python, Qiskit, and TensorFlow Quantum frameworks
- Published research in Nature/Science or top-tier conferences
- Deep understanding of quantum decoherence mitigation techniques
- Experience securing federal research grants
- Strong background in topological quantum computing