Job Description
Join Nexus Quantum Labs at the forefront of computational revolution. We're seeking a visionary Quantum Computing Researcher to pioneer breakthroughs that will redefine 2026's technological landscape. As a key member of our R&D division, you'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum algorithms and error-correction protocols. Our state-of-the-art facility in San Francisco offers unparalleled resources, including 128-qubit processors and cryogenic computing environments.
This role represents a rare opportunity to shape humanity's computational future while working with the brightest minds in quantum physics, machine learning, and materials science. We offer competitive compensation, comprehensive benefits, and the chance to publish groundbreaking research in premier scientific journals.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop quantum error-correction techniques for fault-tolerant computing systems
- Lead interdisciplinary research teams to bridge quantum theory and practical applications
- Collaborate with hardware engineers to improve qubit coherence times and gate fidelities
- Publish peer-reviewed research and present findings at international conferences
- Identify commercial applications for quantum advancements in finance, logistics, and materials science
- Mentor junior researchers and contribute to quantum computing education initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent industry experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Strong background in quantum error correction and fault-tolerant architectures
- Published research in top-tier quantum computing journals or conferences
- Expertise in at least one classical programming language (Python, C++, or Rust)
- Demonstrated ability to translate complex theoretical concepts into practical implementations