Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026. We're seeking a visionary Quantum Computing Architect to design next-generation quantum systems that will redefine computational boundaries. This role demands expertise in quantum mechanics, algorithm development, and scalable hardware integration to build platforms capable of solving previously unsolvable problems in cryptography, material science, and AI optimization.
As part of our elite R&D team, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin facility. We offer unparalleled resources, competitive compensation, and the opportunity to shape humanity's technological future. If you're ready to push beyond classical computing limitations, this is your moment to impact 2026's digital landscape.
Responsibilities
- Design and implement scalable quantum computing architectures for commercial and research applications
- Develop quantum algorithms optimized for error correction and qubit stability
- Lead integration of quantum processors with classical computing systems
- Collaborate with hardware teams to advance quantum chip fabrication and cooling systems
- Establish security protocols for quantum-resistant cryptography systems
- Publish research in peer-reviewed journals and present at international conferences
- Mentor junior engineers in quantum programming and system design principles
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Expertise in quantum programming languages (Q#, Quil, Cirq)
- Proven track record in quantum algorithm development and optimization
- Deep understanding of quantum error correction and fault-tolerant systems
- Familiarity with quantum hardware platforms (IBM Q, Rigetti, D-Wave)
- Strong background in distributed systems and high-performance computing
- Published research in quantum computing or related fields
- Experience leading technical teams in R&D environments