Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Architect to design next-gen quantum algorithms and hybrid classical-quantum systems that will redefine industries. This role offers unparalleled opportunity to shape the future of computational science while working alongside Nobel laureates and industry pioneers in our state-of-the-art Austin facility.
As a key member of our R&D division, you'll develop scalable quantum architectures, optimize error correction protocols, and collaborate with Fortune 500 partners to solve previously unsolvable problems. Our culture champions intellectual curiosity with 20% innovation time and cutting-edge resources including 128-qubit processors and dedicated simulation labs.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures for enterprise applications
- Develop hybrid quantum-classical algorithms for optimization and machine learning challenges
- Lead quantum error correction protocol development targeting >99.9% fidelity
- Collaborate with hardware teams to co-design quantum processors and control systems
- Translate complex quantum concepts into actionable technical specifications for engineering teams
- Partner with clients to identify quantum computing opportunities and ROI pathways
- Author peer-reviewed publications and patents in quantum information science
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience considered)
- 5+ years in quantum computing research or commercial quantum algorithm development
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#) and simulation tools
- Published research in quantum error correction or fault-tolerant architectures
- Deep understanding of quantum complexity theory and computational models
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations