Job Description
Join the forefront of technological revolution at Nexus Quantum Labs as we pioneer the next generation of computational systems. As a Quantum Computing Architect in 2026, you'll design and implement fault-tolerant quantum algorithms that solve previously impossible problems across cryptography, materials science, and AI optimization. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical quantum mechanics into scalable, real-world applications.
We're seeking visionary thinkers who thrive at the intersection of physics, computer science, and systems engineering. This role offers competitive equity packages, flexible hybrid work arrangements, and access to our exclusive R&D partnerships with leading quantum hardware manufacturers. Shape the future of technology while working with some of the brightest minds in the field.
Responsibilities
- Design and implement quantum circuit architectures for NISQ-era and fault-tolerant systems
- Develop hybrid quantum-classical algorithms for enterprise-scale optimization problems
- Collaborate with hardware teams to co-design quantum error correction protocols
- Create quantum machine learning frameworks for predictive analytics and pattern recognition
- Lead cross-functional R&D projects integrating quantum capabilities into existing cloud infrastructures
- Author technical white papers and contribute to open-source quantum development frameworks
- Mentor junior researchers and publish findings in top-tier quantum computing journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience considered)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE, QAOA)
- Experience with quantum error correction codes and fault-tolerant architectures
- Strong background in linear algebra, probability theory, and computational complexity
- Published research in quantum computing or related field (IEEE/ACM journals)
- Proficiency in high-performance computing environments and parallel programming