Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking a visionary Quantum Computing Architect to design next-gen quantum systems that will redefine industries. This hybrid role demands a blend of theoretical physics expertise and hands-on engineering innovation to solve complex computational challenges. You'll collaborate with Nobel laureates, quantum hardware specialists, and industry disruptors to build scalable quantum architectures that power breakthroughs in healthcare, finance, and AI. Our Austin R&D hub offers cutting-edge facilities and unparalleled resources for quantum experimentation. If you're passionate about shaping the future of computation and thrive in environments where theoretical physics meets practical engineering, this is your opportunity to leave an indelible mark on technological history.
Responsibilities
- Design scalable quantum computing architectures leveraging superconducting qubits and topological systems
- Develop quantum error correction protocols for fault-tolerant quantum processors
- Lead cross-functional teams in implementing quantum algorithms for real-world applications
- Optimize quantum circuit designs for hybrid quantum-classical computing environments
- Establish security frameworks for quantum-resistant cryptography systems
- Research emerging quantum technologies (photonic, trapped ion, neutral atom) for next-gen implementations
- Collaborate with hardware teams to co-design quantum processors and control systems
- Document quantum architectures and publish breakthrough research in peer-reviewed journals
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Expertise in quantum algorithm development and quantum circuit optimization
- Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
- Deep understanding of quantum error correction and fault tolerance principles
- Experience with quantum hardware integration and control systems
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Published research in quantum computing or related fields
- Ability to translate theoretical concepts into practical engineering solutions