Job Description
Join Nexus 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 and implement next-gen quantum systems that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry pioneers to build scalable quantum architectures capable of solving previously unsolvable problems in cryptography, material science, and AI optimization. This role offers unparalleled opportunities to shape the future of human technological advancement.
Our state-of-the-art facility features 500+ qubit processors and cutting-edge cryogenic systems. You'll lead a multidisciplinary team of physicists, engineers, and software developers while publishing groundbreaking research in top-tier journals. The ideal candidate thrives at the intersection of theoretical physics and practical engineering, with a passion for pushing beyond conventional computational limits.
Responsibilities
- Design scalable quantum computing architectures with fault-tolerant qubit configurations
- Develop quantum error correction protocols for 1000+ qubit systems
- Integrate quantum-classical hybrid computing workflows for enterprise solutions
- Lead R&D initiatives in quantum machine learning algorithms
- Collaborate with hardware teams to optimize quantum processor performance
- Architect secure quantum communication networks resistant to decryption
- Publish peer-reviewed research and present at international conferences
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Expertise in quantum circuit design and quantum algorithm optimization
- Proven track record of publishing in Nature/Science journals
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum decoherence mitigation techniques
- Experience with superconducting qubit manipulation and cryogenics
- Demonstrated ability to lead complex R&D projects with cross-functional teams