Job Description
Join Nexus Innovations 2026 at the forefront of technological revolution as we pioneer the next generation of quantum computing systems. Our multidisciplinary team in San Francisco is developing breakthrough solutions that will redefine computational capabilities across industries. We seek a visionary Quantum Computing Research Scientist to drive innovation in quantum algorithms, error correction, and hardware integration. This role offers unparalleled opportunities to shape the future of technology while collaborating with Nobel laureates and industry pioneers in a state-of-the-art laboratory environment.
We offer comprehensive benefits including equity, flexible work arrangements, and a dedicated R&D budget of $50M annually. Our commitment to employee growth is demonstrated by our 95% retention rate and industry-leading professional development programs.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Develop error correction techniques to enhance quantum system stability
- Collaborate with hardware teams to integrate quantum processors with classical computing frameworks
- Lead cross-functional research initiatives in quantum machine learning and cryptography
- Publish findings in peer-reviewed journals and present at international conferences
- Secure external research funding through NSF and DoE grants
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Physics, Computer Science, or related field with quantum computing specialization
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum algorithms or quantum error correction
- Proficiency in Python, C++, and low-level quantum system architectures
- Demonstrated ability to secure competitive research grants
- Experience with cryogenic quantum systems or photonic computing
- Strong background in linear algebra and quantum information theory
- Track record of innovative problem-solving in complex technical domains