Job Description
Shape the technological frontier of 2026 as Quantum Computing Architect at Nexus Quantum Labs. We're pioneering the next wave of quantum breakthroughs that will redefine computing paradigms. Join our elite team to architect scalable quantum solutions, pushing the boundaries of what's possible in cryptography, simulation, and AI acceleration. This role offers unparalleled opportunity to work with cutting-edge hardware and software systems that will power the innovations of tomorrow.
Our Austin headquarters houses a state-of-the-art quantum lab where you'll collaborate with Nobel laureates and industry pioneers. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budget for your breakthrough projects. If you're passionate about quantum supremacy and want to leave your mark on 2026's technological landscape, this is your calling.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures for 2026-era applications
- Lead quantum algorithm development for optimization, cryptography, and machine learning
- Collaborate with hardware engineers to bridge quantum software-hardware interfaces
- Mentor a team of quantum researchers and engineers in cutting-edge techniques
- Develop quantum error correction protocols for scalable systems
- Drive innovation in quantum cloud integration and hybrid computing models
- Present breakthrough findings at premier quantum computing conferences
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Proven track record of publishing in Nature/Science or equivalent quantum computing journals
- Deep understanding of quantum error correction and fault-tolerant architectures
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in high-performance computing and parallel programming
- Exceptional problem-solving skills for quantum algorithm optimization challenges