Job Description
Join NexusLabs at the forefront of the 2026 technological revolution as a Quantum AI Research Engineer. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This role offers unparalleled opportunities to shape the future of computational intelligence while working with cutting-edge hardware and algorithms in our state-of-the-art San Francisco facility.
As a key member of our elite research team, you'll develop novel quantum machine learning models, optimize hybrid quantum-classical systems, and contribute to breakthroughs in areas like drug discovery, climate modeling, and materials science. We offer competitive compensation, comprehensive benefits including equity, and a culture that celebrates innovation and intellectual curiosity.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Develop hybrid quantum-classical neural network architectures
- Lead research projects in quantum optimization and simulation
- Collaborate with hardware teams to validate quantum computing solutions
- Author peer-reviewed publications and technical whitepapers
- Mentor junior researchers in quantum computing principles
- Translate theoretical research into practical industry applications
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, etc.)
- Expertise in Python and quantum circuit design
- Strong background in linear algebra and quantum mechanics
- Publication record in top-tier quantum/AI conferences
- Experience with cloud-based quantum computing platforms
- Ability to work in cross-functional R&D teams