Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for the 2026 horizon. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and architectures that will redefine computational capabilities. This role offers unparalleled opportunities to shape the future of AI, cryptography, and materials science while collaborating with Nobel laureates and industry disruptors. Our state-of-the-art facility in San Francisco's innovation district provides an environment where groundbreaking ideas become reality.
What you'll achieve:
- Design quantum algorithms solving previously intractable problems in machine learning and optimization
- Lead hardware-software co-design initiatives for fault-tolerant quantum systems
- Publish breakthrough research in top-tier journals and conferences
- Secure patents and intellectual property for 2026-era quantum innovations
Responsibilities
- Develop novel quantum algorithms targeting 2026-era computational challenges
- Architect hybrid quantum-classical computing frameworks for enterprise applications
- Lead cross-functional R&D teams in prototyping quantum hardware interfaces
- Establish industry partnerships for quantum technology adoption roadmaps
- Present research findings to investors, government agencies, and academic institutions
- Contribute to ethical frameworks governing quantum technology deployment
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years of hands-on quantum algorithm development experience
- Published research in Nature/Science or equivalent tier journals
- Proficiency in quantum programming frameworks (Qiskit, Cirq, Quil)
- Deep understanding of quantum error correction and fault tolerance
- Track record of securing research grants or venture funding
- Experience with superconducting or photonic quantum systems
- Strong background in theoretical computer science complexity theory