Job Description
Step into the future with Nexus Quantum Labs, where we're pioneering the next frontier of computational technology. We're seeking a visionary Quantum Computing Research Scientist to join our elite team in San Francisco. As a leader in the 2026 quantum revolution, you'll design and implement breakthrough quantum algorithms, collaborate with Nobel Prize-winning physicists, and contribute to projects that will redefine industries from pharmaceuticals to cryptography. Our state-of-the-art quantum lab features the latest hardware, and we offer unparalleled resources to transform theoretical concepts into tangible innovations. If you're passionate about quantum mechanics and want to shape the future of human knowledge, this is your moment.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and cryptography applications
- Lead cutting-edge research in quantum error correction and fault-tolerant computing systems
- Collaborate with hardware engineers to optimize quantum software for next-generation processors
- Develop quantum machine learning models for predictive analytics and pattern recognition
- Author breakthrough research papers for peer-reviewed journals and industry conferences
- Mentor junior researchers and drive cross-functional innovation with AI/ML teams
- Translate theoretical quantum computing concepts into practical enterprise solutions
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of quantum research experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit design
- Published work in quantum computing or quantum information theory in top-tier journals
- Strong background in linear algebra, quantum mechanics, and complex systems theory
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Proven ability to translate abstract quantum concepts into executable algorithms
- Excellent communication skills for presenting technical concepts to diverse stakeholders
- Knowledge of quantum machine learning frameworks (PennyLane, TensorFlow Quantum)