Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and architectures that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research in quantum information theory, error correction, and quantum machine learning. Collaborate with Nobel laureates and industry pioneers to transform theoretical concepts into practical applications that will shape humanity's digital future.
We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity participation in our rapidly growing quantum ecosystem. If you're passionate about solving humanity's most complex challenges through quantum innovation, this is your opportunity to make history.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Lead research on quantum error correction techniques and fault-tolerant architectures
- Develop quantum software frameworks compatible with next-generation quantum processors
- Collaborate with hardware teams to co-design quantum-classical hybrid systems
- Publish groundbreaking research in leading scientific journals and conferences
- Secure external funding through NSF and DARPA quantum research proposals
- Mentor junior researchers and establish industry partnerships for quantum technology adoption
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years of quantum computing research
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit optimization
- Published record in top-tier quantum computing conferences (QIP, IEEE Quantum Week)
- Strong background in quantum information theory and quantum error correction
- Proficiency in high-performance computing environments and parallel programming
- Demonstrated ability to translate theoretical concepts into experimental implementations
- Experience with quantum machine learning frameworks and hybrid quantum-classical algorithms