Job Description
Join Nexus Quantum Solutions at the forefront of computational revolution as we pioneer 2026's quantum ecosystem. We're seeking a visionary Quantum Computing Architect to design next-gen systems that will redefine industries. Our team operates at the intersection of theoretical physics and scalable engineering, pushing the boundaries of what's computationally possible. This role offers unparalleled opportunity to shape the quantum landscape while working with world-renowned researchers and cutting-edge hardware.
As a key innovator in our San Francisco R&D hub, you'll develop fault-tolerant quantum architectures and hybrid quantum-classical frameworks that solve previously intractable problems in cryptography, materials science, and AI optimization. We provide competitive compensation, comprehensive benefits, and a culture that celebrates intellectual curiosity and breakthrough thinking.
Responsibilities
- Design scalable quantum computing architectures for 2026-era applications
- Develop error-correction frameworks and quantum-classical integration protocols
- Lead prototyping of quantum processors with 1000+ qubit capabilities
- Create security frameworks for post-quantum cryptographic systems
- Collaborate with academic institutions on quantum algorithm innovation
- Document quantum system specifications and performance benchmarks
- Mentor junior quantum engineers on emerging hardware technologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience considered)
- 5+ years experience in quantum computing architecture or quantum algorithms
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum error correction and fault tolerance
- Published research in quantum information theory or quantum hardware
- Experience with cryogenic quantum systems and control electronics
- Strong background in high-performance computing architectures
- Proven track record of translating theoretical concepts into practical implementations