Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum computing systems. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and applications that will redefine industries by 2026. This role offers unparalleled opportunities to work with world-class researchers and state-of-the-art quantum hardware in our cutting-edge San Francisco facility.
As a key member of our Future Technologies Division, you'll collaborate with interdisciplinary teams to solve complex computational challenges that were once deemed impossible. We offer competitive compensation, comprehensive benefits, and a culture that celebrates innovation and intellectual curiosity. Your work will directly contribute to advancing quantum supremacy and developing practical quantum solutions for healthcare, finance, and artificial intelligence.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Conduct experimental research on quantum hardware systems and error correction techniques
- Develop hybrid quantum-classical computing frameworks for real-world problem solving
- Lead cross-functional teams in prototyping quantum applications for enterprise clients
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Collaborate with hardware engineers to improve qubit stability and gate fidelity
- Drive strategic partnerships with academic institutions and government research labs
- Mentor junior researchers and contribute to quantum computing curriculum development
Qualifications
- PhD in Physics, Computer Science, Mathematics, or related field with 3+ years of quantum computing research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit optimization
- Strong background in quantum mechanics, linear algebra, and computational complexity theory
- Proven track record of publishing high-impact quantum computing research
- Familiarity with quantum hardware architectures (superconducting, trapped ion, photonic)
- Experience with machine learning frameworks and classical-quantum hybrid systems
- Demonstrated ability to lead technical projects and collaborate across disciplines
- Passion for ethical quantum computing development and responsible innovation