Job Description
Join Nexus Tech Solutions at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. As a Quantum Computing Architect, you'll design next-generation quantum systems that will redefine industries, solve previously unsolvable problems, and accelerate human innovation. We're seeking visionary architects to build the computational backbone of tomorrow's digital landscape.
About the Role: Lead the conceptualization, development, and optimization of quantum computing architectures. Collaborate with Nobel Prize-winning physicists and world-class engineers to transform theoretical quantum mechanics into practical, scalable systems. Your work will directly impact breakthroughs in pharmaceuticals, climate modeling, and AI.
Why Join Us? Our culture celebrates intellectual curiosity and bold experimentation. Enjoy cutting-edge resources, flexible work arrangements, and equity in a company valued at $2B+ with partnerships with NASA, IBM Quantum, and MIT.
Responsibilities
- Design and implement scalable quantum computing architectures for enterprise applications
- Develop error correction protocols to achieve quantum supremacy
- Lead cross-functional teams of physicists, engineers, and data scientists
- Optimize qubit stability and coherence times for commercial deployment
- Research and integrate emerging quantum technologies (topological qubits, photonic quantum processors)
- Translate complex quantum algorithms into practical business solutions
- Present quantum roadmap to C-suite and board of directors
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (Master's with 8+ years experience)
- 5+ years in quantum computing architecture or high-performance computing design
- Expertise in quantum algorithms (Shor's, Grover's, QAOA)
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
- Published research in peer-reviewed quantum computing journals
- Experience with cryogenic systems and quantum hardware integration
- Strong background in machine learning and classical-quantum hybrid systems