Job Description
Join Nexus Labs at the forefront of quantum revolution! We're seeking a pioneering Quantum Computing Architect to design and implement next-gen quantum systems for 2026 and beyond. Shape the future of computational power while working with Nobel Prize-winning researchers in our Austin-based quantum innovation hub. This role offers unparalleled opportunities to redefine technological boundaries in a culture that values audacious thinking and breakthrough innovation.
As a key member of our Quantum Solutions Division, you'll architect scalable quantum processors, develop error-correction frameworks, and translate theoretical breakthroughs into practical applications. Our state-of-the-art facility features 24/7 access to quantum annealing systems and collaborative labs where you'll push the boundaries of what's computationally possible.
Responsibilities
- Design fault-tolerant quantum computing architectures for 2026-scale applications
- Develop hybrid quantum-classical algorithms for optimization problems
- Lead quantum hardware-software integration projects with cross-functional teams
- Implement quantum error correction protocols for industrial-scale deployments
- Research and evaluate emerging quantum technologies (topological qubits, photonic quantum computing)
- Create quantum security frameworks for post-quantum cryptography systems
- Mentor junior quantum engineers in advanced quantum programming methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (Master's with exceptional experience)
- 5+ years in quantum computing architecture or quantum algorithm development
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum error correction or quantum hardware design
- Deep understanding of quantum decoherence mechanisms and mitigation strategies
- Experience with quantum simulation frameworks (Q#, IBM Q Experience, Rigetti)
- Proven track record of translating quantum theory to practical implementations
- Strong background in high-performance computing and parallel processing