Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI fusion for 2026 and beyond. We seek visionary researchers to develop next-generation computational frameworks that will redefine human-machine collaboration. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into revolutionary applications.
This role represents a unique opportunity to shape the technological landscape of the mid-2020s, working with Nobel laureates and industry disruptors in an environment that values audacious thinking and rigorous experimentation.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for computational optimization
- Lead cross-functional teams in developing 2026-era neural network architectures
- Conduct cutting-edge research in quantum machine learning applications
- Collaborate with hardware engineers to optimize quantum-classical interfaces
- Author peer-reviewed publications and white papers on emerging computational paradigms
- Develop patentable solutions for next-generation autonomous systems
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years research experience
- Published work in Nature/Science or top-tier ML/quantum conferences
- Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit design
- Track record of translating research into commercial applications
- Demonstrated ability to secure research grants or industry partnerships
- Deep understanding of 2026 technological landscape and emerging standards