Job Description
Join Nexus Labs at the forefront 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 and collaborative environments where your breakthroughs can shape human progress.
About the Role: This position combines quantum computing principles with advanced machine learning architectures. You'll lead projects in error-corrected quantum neural networks and develop algorithms for real-world applications in cryptography, materials science, and autonomous systems.
Responsibilities
- Design and implement quantum machine learning models using Qiskit and TensorFlow Quantum
- Lead cross-functional teams to develop hybrid quantum-classical computing solutions
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with hardware teams to optimize quantum circuit performance
- Develop proprietary quantum encryption protocols for enterprise clients
- mentor junior researchers and establish new research methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, C++, and quantum circuit optimization
- Deep understanding of quantum error correction techniques
- Strong background in linear algebra and quantum information theory
- Proven ability to lead complex research projects to completion