Job Description
We are on the brink of a computing revolution. At Nexus Horizon Labs, we are defining the architecture for the 2026 era of artificial and quantum intelligence. We are looking for a visionary Lead Quantum Systems Architect to spearhead the design and implementation of scalable quantum computing solutions.
In this role, you will bridge the gap between theoretical physics and practical engineering, building fault-tolerant systems that will power the next generation of machine learning and data processing. You will work in a high-performance environment with top-tier researchers to solve complex problems in error correction, superposition, and entanglement.
If you are passionate about the future of technology and want to leave a lasting impact on the fabric of computational science, we want to hear from you.
Responsibilities
- Design and architect scalable quantum computing systems, focusing on error correction and fault tolerance.
- Collaborate with cross-functional teams of physicists, software engineers, and hardware specialists to integrate quantum modules into hybrid cloud environments.
- Develop and optimize quantum algorithms to solve complex business problems in logistics, cryptography, and material science.
- Lead R&D initiatives to explore emerging quantum technologies, including topological qubits and quantum annealing.
- Define technical roadmaps and best practices for quantum software development and deployment.
- Mentor junior architects and researchers, fostering a culture of innovation and technical excellence.
Qualifications
- Ph.D. or Master’s degree in Physics, Computer Science, Mathematics, or a related field with a focus on Quantum Information Science.
- 10+ years of experience in systems architecture, with at least 3 years specifically in quantum computing or supercomputing.
- Deep understanding of quantum mechanics principles, including linear algebra, probability theory, and complex numbers.
- Proficiency in quantum programming frameworks such as Qiskit, Cirq, or PyQuil.
- Experience with Python, C++, and high-performance computing clusters.
- Strong track record of leading technical teams and managing large-scale technical projects.
- Excellent communication skills, with the ability to translate complex technical concepts for diverse stakeholders.