Job Description
Join Nexus Future Labs at the forefront of 2026 technological evolution. We're seeking a visionary Quantum Computing Architect to design next-gen computational frameworks that will redefine industries. As part of our elite innovation division, you'll pioneer solutions in quantum cryptography, molecular simulation, and AI-driven optimization. Our Austin hub offers unparalleled resources including a 128-qubit quantum processor lab and partnerships with MIT's Quantum Engineering Center.
This role combines deep technical expertise with strategic foresight. You'll lead cross-functional teams translating theoretical breakthroughs into scalable commercial applications while mentoring the next generation of quantum engineers. Our culture values audacious thinking and rapid prototyping in a state-of-the-art facility overlooking the Colorado River.
Responsibilities
- Design quantum algorithms achieving computational supremacy for complex optimization problems
- Architect hybrid quantum-classical computing frameworks for enterprise deployment
- Lead quantum security protocols for next-gen blockchain systems
- Develop error-correction methodologies enabling fault-tolerant quantum operations
- Collaborate with AI teams to create quantum-enhanced machine learning models
- Present breakthrough research at global quantum computing conferences
- Mentor junior engineers in quantum circuit design principles
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Published research in top-tier quantum computing journals (Nature Quantum, PRL)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and error correction
- Proven track record of building quantum algorithms with measurable performance gains
- Deep understanding of quantum hardware architectures (superconducting, trapped ion)
- Certification in quantum security protocols (QKD, post-quantum cryptography)
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Strong background in high-performance computing and parallel processing