Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Architect to design next-gen systems that will redefine computational paradigms. You'll collaborate with Nobel laureates and industry disruptors to transform theoretical breakthroughs into scalable infrastructure powering the next industrial revolution.
Our Austin campus features state-of-the-art quantum annealing facilities and a 24/7 innovation lab where you'll develop error-corrected qubit architectures and hybrid quantum-classical frameworks. This role offers unparalleled opportunities to shape humanity's technological trajectory while enjoying Texas's vibrant tech ecosystem and competitive compensation packages.
Responsibilities
- Design fault-tolerant quantum processor architectures using topological qubit systems
- Develop hybrid quantum-classical algorithms for optimization problems in logistics and drug discovery
- Lead cross-functional teams of physicists and software engineers in quantum system integration
- Create quantum-resistant encryption protocols for next-gen cybersecurity infrastructure
- Architect cloud-native quantum computing platforms serving enterprise clients globally
- Research novel quantum error correction techniques for scalable quantum advantage
- Present breakthrough findings at international quantum computing symposiums
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent industry experience)
- 5+ years developing quantum algorithms or quantum hardware architectures
- Proficiency in quantum programming languages (Qiskit, Cirq, Quipper)
- Published research in peer-reviewed quantum computing journals
- Deep understanding of quantum decoherence mitigation techniques
- Experience with superconducting qubit systems or photonic quantum processors
- Strong background in machine learning for quantum error correction
- Track record of translating theoretical quantum concepts into practical implementations