Job Description
Join Nexus Quantum Systems at the forefront of technological evolution as we pioneer the next generation of quantum computing infrastructure. We're seeking a visionary Quantum Infrastructure Architect to design, implement, and optimize next-gen quantum systems that will redefine computational capabilities by 2026. This role offers the opportunity to shape the future of technology while working with cutting-edge hardware, AI-driven optimization platforms, and a world-class team of quantum physicists and engineers.
Our Austin hub is equipped with state-of-the-art quantum labs and offers a dynamic, collaborative environment where innovation thrives. You'll lead projects that push the boundaries of quantum coherence, error correction, and scalable architectures. We provide comprehensive benefits including equity, flexible work arrangements, and continuous learning opportunities.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures supporting 1000+ qubit systems
- Develop hybrid quantum-classical workflows for optimization problems in logistics, cryptography, and materials science
- Lead integration of quantum sensors with IoT networks for precision environmental monitoring
- Architect quantum-secure communication protocols resistant to future cryptographic threats
- Optimize quantum annealing systems for complex industrial supply chain simulations
- Drive R&D in topological qubit stabilization techniques
- Mentor junior engineers on quantum error correction methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Electrical Engineering with 5+ years experience
- Proven expertise in quantum error correction codes (surface codes, LDPC codes)
- Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#) and classical HPC integration
- Deep understanding of quantum decoherence mechanisms and mitigation strategies
- Experience with cryogenic engineering and superconducting qubit manipulation
- Published research in top-tier quantum computing journals (Nature, Science, etc.)
- Strong background in machine learning for quantum system optimization