Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. As our Quantum Computing Architect, you'll design next-gen quantum systems that redefine computational boundaries. We're seeking visionary innovators to build scalable quantum architectures that solve today's unsolvable challenges—from drug discovery to climate modeling. Our Austin hub combines cutting-edge research with startup agility, offering unparalleled resources to transform theoretical breakthroughs into tangible impact.
At Nexus Quantum Labs, we foster a culture of audacious experimentation and collaborative brilliance. You'll work alongside Nobel laureates and industry pioneers in state-of-the-art facilities, with competitive benefits including equity, flexible work arrangements, and dedicated R&D budgets. This role offers the rare opportunity to shape the quantum landscape of the next decade.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures for 2026 deployment
- Lead cross-functional teams in developing quantum algorithms for real-world applications
- Define quantum error correction protocols for industrial-scale systems
- Establish security frameworks for quantum-resistant cryptography solutions
- Collaborate with hardware engineers to optimize quantum-classical hybrid workflows
- Present quantum computing roadmaps to C-suite executives and government stakeholders
- Drive innovation in quantum machine learning and AI integration
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years experience in quantum computing architecture or algorithm design
- Expertise in quantum error correction and fault-tolerance methodologies
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in peer-reviewed quantum computing journals
- Experience leading technical teams in fast-paced R&D environments
- Demonstrated ability to translate quantum theory into practical applications
- Strong background in high-performance computing and parallel systems