Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration for 2026. This role offers the opportunity to shape humanity's digital future by architecting breakthrough systems at the intersection of quantum computing and artificial intelligence. You'll lead a multidisciplinary team in developing scalable quantum neural networks while mentoring the next generation of innovators. Our state-of-the-art facility in downtown San Francisco provides an unparalleled environment for groundbreaking research with industry-leading resources and flexible work arrangements.
Responsibilities
- Architect and deploy quantum-AI hybrid systems for 2026-era applications
- Lead cross-functional teams in developing novel quantum algorithms
- Collaborate with MIT and Stanford researchers on next-gen neural quantum networks
- Secure $2M+ annual R&D funding through NSF and DARPA proposals
- Develop patentable methodologies for quantum machine learning optimization
- Mentor PhD researchers in quantum computing principles
- Publish findings in Nature Quantum and IEEE journals
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent research experience)
- 5+ years in quantum algorithm development with published papers
- Expertise in Qiskit, Cirq, and quantum circuit optimization
- Proven track record of securing government research grants
- Experience with hybrid quantum-classical ML frameworks
- Strong background in topological quantum error correction
- Proficiency in Python/C++ with quantum simulation libraries
- Published work in top-tier quantum/AI conferences