Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026. We seek a visionary Quantum Computing Architect to design next-gen quantum systems that will redefine computational boundaries. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to build scalable quantum infrastructures that solve previously impossible problems across healthcare, climate science, and cryptography.
Why Nexus Labs? Our Austin R&D hub houses the world's most powerful quantum annealer, and we offer unparalleled resources for groundbreaking research. With 40% year-over-year growth and partnerships with NASA and MIT, this is your chance to shape humanity's computational future while enjoying competitive equity packages and flexible remote work options.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures for enterprise applications
- Lead cross-functional teams in developing quantum algorithms with 99.9% fidelity
- Optimize qubit connectivity and error correction protocols for next-generation quantum processors
- Develop hybrid quantum-classical frameworks for real-time problem solving
- Collaborate with hardware teams to define quantum chip specifications and cooling systems
- Translate complex quantum concepts into actionable technical roadmaps for C-suite stakeholders
- Secure $5M+ in research grants through NSF and DoD partnerships
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent industry experience)
- 5+ years of experience in quantum algorithm design or quantum error correction
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Published research in top-tier journals (Nature, Science, PRL) or equivalent industry patents
- Demonstrated experience leading quantum computing projects with 100+ qubit systems
- Expertise in cryogenic engineering and superconducting qubit manipulation
- Strong background in machine learning and high-performance computing architectures