Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the 2026 quantum computing frontier. We're seeking a visionary Quantum Computing Architect to design and implement next-generation quantum systems that will redefine computational possibilities. As a key innovator in our Austin R&D hub, you'll collaborate with Nobel laureates and industry disruptors to build scalable quantum solutions for Fortune 500 clients. Our state-of-the-art lab offers unprecedented resources to transform theoretical breakthroughs into practical applications.
At Nexus Quantum Labs, we believe 2026 will mark the inflection point where quantum computing becomes commercially viable. You'll lead the charge in developing fault-tolerant quantum processors, hybrid quantum-classical algorithms, and secure quantum communication protocols. This role offers unparalleled opportunities to shape humanity's technological future while enjoying Austin's vibrant tech ecosystem, competitive compensation, and cutting-edge benefits.
Responsibilities
- Design scalable quantum computing architectures optimized for 2026-era applications
- Develop hybrid quantum-classical algorithms for machine learning and optimization problems
- Lead implementation of fault-tolerant quantum processors with >1000 qubit capabilities
- Collaborate with security teams to build quantum-resistant encryption systems
- Establish industry partnerships for quantum cloud service integration
- Mentor cross-functional teams in quantum principles and implementation
- Publish breakthrough research in peer-reviewed quantum computing journals
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Proven expertise in quantum circuit design and error correction methodologies
- Deep understanding of quantum algorithms (Shor's, Grover's, QAOA)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Experience with superconducting and photonic quantum systems
- Track record of publishing high-impact quantum computing research
- Strong background in machine learning and classical optimization