Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and protocols that will redefine computational capabilities. Collaborate with world-class physicists, engineers, and AI specialists in our state-of-the-art facility in San Francisco's tech corridor. You'll work on cutting-edge quantum hardware integration, error correction methodologies, and hybrid quantum-classical systems with real-world applications in cryptography, materials science, and machine learning.
This role offers unparalleled opportunities to shape the future of technology while enjoying comprehensive benefits including stock options, flexible work arrangements, and dedicated research funding. Our culture emphasizes innovation, collaboration, and intellectual curiosity—perfect for those who thrive at the intersection of theoretical physics and practical application.
Responsibilities
- Design and implement novel quantum algorithms for complex computational problems
- Develop quantum error correction protocols for fault-tolerant computing systems
- Collaborate on quantum hardware integration and optimization projects
- Lead research on hybrid quantum-classical machine learning frameworks
- Publish findings in leading scientific journals and present at international conferences
- Mentor junior researchers and contribute to intellectual property development
- Stay current with emerging quantum technologies through continuous learning
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in linear algebra, probability theory, and quantum mechanics
- Publication record in quantum computing or quantum information theory
- Experience with quantum simulation platforms and hardware interfaces
- Demonstrated ability to translate theoretical concepts into practical implementations
- Excellent problem-solving skills and innovative thinking approach