Job Description
Join Nexus Quantum Labs at the forefront of technological revolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll collaborate with Nobel laureates and industry pioneers to develop next-gen algorithms, error-correction protocols, and quantum neural networks. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where curiosity drives innovation.
We offer competitive compensation, flexible work arrangements, and opportunities to shape the quantum landscape. If you're passionate about solving humanity's most complex computational challenges and want to contribute to technology that will impact generations, this is your moment.
Responsibilities
- Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
- Develop quantum error-correction codes and fault-tolerant architectures for scalable quantum systems
- Lead research initiatives in quantum machine learning and hybrid quantum-classical computing
- Collaborate with hardware teams to translate theoretical models into experimental protocols
- Publish breakthrough research in top-tier journals and present at international quantum computing conferences
- Mentor junior researchers and contribute to patent development for proprietary quantum technologies
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
- Strong background in linear algebra, probability theory, and quantum information theory
- Proven track record of publishing in Nature/Science or equivalent high-impact journals
- Familiarity with quantum hardware platforms (superconducting, trapped ions, photonic)
- Experience with machine learning frameworks (TensorFlow, PyTorch) and classical-quantum hybrid systems
- Excellent problem-solving skills and ability to communicate complex concepts to diverse stakeholders