Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the quantum frontier for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to architect breakthrough solutions that will redefine computing paradigms. In this role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges in cryptography, material science, and artificial intelligence. Our state-of-the-art facility in San Francisco offers unparalleled resources including 128-qubit quantum processors and dedicated AI-assisted research environments.
As part of our elite Future Technologies Division, you'll shape the next generation of quantum algorithms while contributing to open-source frameworks that will power global innovation. We offer competitive equity packages, flexible research budgets, and opportunities to present findings at premier quantum conferences worldwide.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead cutting-edge research in quantum error correction and fault-tolerant systems
- Develop hybrid quantum-classical machine learning frameworks for 2026 applications
- Collaborate with hardware teams to co-design next-generation quantum processors
- Author peer-reviewed publications and secure competitive research grants
- Mentor junior researchers in quantum programming best practices
- Contribute to open-source quantum software ecosystems (Qiskit, Cirq, PennyLane)
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum circuit design and quantum algorithm development
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in linear algebra, probability theory, and information theory
- Published research in top-tier quantum computing journals/conferences
- Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
- Demonstrated ability to translate theoretical concepts into practical implementations