Job Description
Join Nexus Innovations as we redefine technological boundaries for 2026. We're seeking a visionary Quantum Computing Architect to design next-generation computational frameworks that will power the next decade of innovation. This role sits at the intersection of theoretical physics and practical engineering, requiring pioneers who can translate quantum principles into scalable solutions.
You'll lead cross-disciplinary teams to develop fault-tolerant quantum systems, pioneer novel algorithms for quantum supremacy, and architect hybrid quantum-classical architectures. The ideal candidate thrives in ambiguity, embraces exponential technologies, and possesses the foresight to anticipate quantum computing's impact on industries from pharmaceuticals to logistics.
This position offers unparalleled opportunities to shape the quantum revolution while working alongside Nobel laureates and industry pioneers in our state-of-the-art San Francisco R&D center.
Responsibilities
- Design scalable quantum computing architectures with 1000+ qubit coherence
- Develop hybrid quantum-classical algorithms for practical industry applications
- Lead research into topological quantum computing and error correction methodologies
- Collaborate with AI teams to integrate quantum-enhanced machine learning pipelines
- Architect secure quantum communication networks resistant to decryption
- Translate theoretical physics models into deployable engineering specifications
- Mentor junior researchers in quantum information science fundamentals
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years in quantum computing research or industrial quantum system development
- Expertise in quantum error correction codes and fault-tolerant architectures
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Publication record in top-tier quantum computing journals (Nature Physics, PRL)
- Deep understanding of quantum supremacy benchmarks and NISQ-era limitations
- Experience with cryogenic quantum hardware integration and control systems
- Portfolio demonstrating at least one quantum algorithm implementation at scale