Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum computing solutions that will redefine global industries. As a Quantum Computing Architect, you'll design and implement next-generation quantum systems that solve previously impossible computational challenges. Our Austin-based innovation hub offers unparalleled resources to transform theoretical breakthroughs into real-world applications across finance, healthcare, and AI. Collaborate with Nobel laureates and industry disruptors in an environment where your ideas shape tomorrow's digital landscape.
We're seeking visionaries who thrive at the intersection of physics, computer science, and engineering. This role offers competitive equity, flexible hybrid work, and the opportunity to patent groundbreaking quantum algorithms. Your work will directly impact humanity's most pressing challenges, from climate modeling to personalized medicine.
Responsibilities
- Design scalable quantum computing architectures for enterprise-level applications
- Develop hybrid quantum-classical algorithms for optimization and machine learning
- Lead cross-functional teams in implementing quantum error correction protocols
- Collaborate with hardware teams to co-design quantum processors and control systems
- Translate complex quantum concepts into actionable engineering specifications
- Drive innovation in quantum security protocols for next-gen cryptography
- Present findings at international quantum computing conferences and industry forums
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years of experience in quantum algorithm development or quantum hardware design
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and Python/C++
- Deep understanding of quantum mechanics principles and quantum information theory
- Published research in quantum computing or top-tier tech conferences
- Experience leading complex technical projects with cross-disciplinary teams
- Strong analytical skills for solving abstract computational problems