Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence for 2026 and beyond. We're seeking visionary researchers to develop next-generation solutions that will redefine computational paradigms. Our state-of-the-art labs in San Francisco offer unparalleled resources to transform theoretical concepts into real-world applications.
This role offers competitive compensation, equity packages, and the opportunity to shape humanity's technological trajectory. You'll collaborate with Nobel laureates and industry disruptors in an environment that values intellectual curiosity and bold experimentation.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional research teams in developing novel AI-quantum hybrid architectures
- Publish breakthrough research in top-tier scientific journals and conferences
- Translate theoretical models into scalable prototypes with real-world applications
- Secure and manage $5M+ research grants from federal and private institutions
- Mentor postdoctoral researchers and PhD candidates in emerging technologies
- Develop strategic roadmaps for quantum-AI integration in 2026-2030
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 5+ years research experience
- Published work in Nature/Science or equivalent tier journals on quantum-AI topics
- Proficiency in quantum programming languages (Qiskit, Cirq) and AI frameworks (PyTorch)
- Expertise in quantum error correction and fault-tolerant systems design
- Proven track record of securing federal research grants (NSF, DARPA)
- Deep understanding of 2026-era technological convergence trends
- Experience leading multi-disciplinary research teams of 10+ members