Job Description
Join the quantum revolution at Nexus Quantum Labs, where we're pioneering the next frontier of computational technology. As a Quantum Computing Research Scientist, you'll architect breakthrough algorithms and solve humanity's most complex problems in cryptography, materials science, and AI optimization. Our state-of-the-art San Francisco campus houses industry-leading quantum hardware and collaborative research spaces designed for innovation. We offer competitive equity packages, flexible hybrid work arrangements, and unparalleled opportunities to shape the post-classical computing landscape.
At Nexus Quantum Labs, we believe quantum computing will redefine 2026 and beyond. Your work will directly impact fields from drug discovery to climate modeling, pushing the boundaries of what's computationally possible. We're seeking passionate visionaries who thrive at the intersection of theory and practice.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop error-correction protocols to enhance quantum system stability and scalability
- Collaborate with hardware engineers to translate theoretical models into practical quantum circuits
- Lead research initiatives targeting 2026 quantum computing milestones in partnership with academic institutions
- Author peer-reviewed publications and present findings at international quantum conferences
- Mentor junior researchers and contribute to patent development in quantum technologies
- Drive cross-functional projects bridging quantum computing with classical AI systems
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Published research in quantum algorithms or quantum information theory
- Deep understanding of quantum mechanics, linear algebra, and complexity theory
- Proficiency in high-performance computing environments and simulation tools
- Experience with machine learning frameworks for hybrid quantum-classical systems
- Strong analytical skills and ability to communicate complex concepts to diverse audiences