Job Description
Join Nexus Labs at the frontier of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking visionary researchers to develop next-generation computational frameworks that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough applications. This role offers competitive equity packages, flexible work arrangements, and opportunities to publish in leading scientific journals.
Responsibilities
- Design and implement quantum machine learning algorithms for complex data modeling
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Develop error-correction protocols for quantum computing architectures
- Collaborate with hardware engineers to optimize quantum processor performance
- Author white papers and patents on quantum-AI convergence methodologies
- Mentor junior researchers in emerging quantum programming paradigms
- Secure and manage research partnerships with leading academic institutions
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics
- 3+ years experience in quantum algorithm development
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in peer-reviewed quantum computing journals
- Strong background in high-performance computing environments
- Expertise in Python, TensorFlow, and quantum circuit optimization
- Experience securing federal or private research grants