Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Architect to design next-generation quantum systems that will redefine computation, cryptography, and machine learning. In this pivotal role, you'll architect scalable quantum architectures, collaborate with Nobel laureates, and transform theoretical breakthroughs into real-world applications that solve humanity's greatest challenges.
Our Austin-based innovation hub offers unparalleled resources, including a 100-qubit quantum processor lab and partnerships with leading universities. You'll lead cross-disciplinary teams of physicists, engineers, and data scientists to build quantum solutions for pharmaceutical discovery, climate modeling, and financial optimization. This isn't just a job—it's your chance to shape the technological landscape of the next decade.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures using superconducting qubits and photonic systems
- Develop quantum algorithms for optimization problems in machine learning and cryptography
- Lead integration of quantum-classical hybrid computing systems for enterprise applications
- Collaborate with hardware teams to define quantum error correction protocols and coherence strategies
- Drive quantum software development frameworks compatible with future quantum hardware
- Present quantum computing roadmaps to C-suite executives and strategic partners
- Author white papers on quantum computing advancements for industry conferences
Qualifications
- PhD in Quantum Physics, Computer Science, or Electrical Engineering with 5+ years industry experience
- Published research in top-tier quantum computing journals (Nature, Science, PRL)
- Expertise in quantum programming languages (Qiskit, Cirq, Quipper)
- Deep understanding of quantum error correction and fault-tolerant computing principles
- Proven track record of designing scalable quantum systems with 50+ qubits
- Experience leading cross-disciplinary technical teams of 10+ engineers
- Strong knowledge of quantum machine learning algorithms and applications