Job Description
Join Nexus Labs, a pioneer in quantum technology, as we redefine the boundaries of computation. We're seeking a visionary Quantum Computing Research Scientist to lead groundbreaking initiatives that will shape the technological landscape of 2026 and beyond. This role offers unparalleled access to cutting-edge hardware and collaborative opportunities with Nobel laureates and industry disruptors.
Our state-of-the-art facility in San Francisco's tech corridor provides an environment where quantum theory meets practical innovation. You'll develop proprietary algorithms, optimize quantum error correction protocols, and contribute to projects with real-world applications in cryptography, materials science, and artificial intelligence. We offer competitive equity packages, flexible work arrangements, and a culture that celebrates intellectual curiosity.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation challenges
- Lead cross-functional R&D projects integrating quantum solutions with classical computing systems
- Develop and validate quantum error correction protocols for fault-tolerant computing
- Collaborate with hardware teams to translate theoretical models into experimental implementations
- Publish peer-reviewed research and present findings at international quantum computing conferences
- Mentor junior researchers and establish best practices for quantum software development
- Secure research grants and partnerships with academic institutions and government agencies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum algorithms, quantum information theory, and quantum error correction
- Proficiency in quantum programming languages (Q#, Quipper, or OpenQASM) and classical Python/C++
- Published research in top-tier quantum computing journals or conferences
- Experience with quantum computing frameworks (Qiskit, Cirq, or Braket)
- Demonstrated ability to translate complex quantum concepts into practical applications
- Strong background in linear algebra, probability theory, and computational complexity