Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the quantum computing revolution of 2026. We're seeking a visionary Quantum Infrastructure Engineer to design, implement, and maintain the next-generation quantum systems that will redefine computational boundaries. You'll work in our state-of-the-art San Francisco R&D facility, collaborating with Nobel laureates and industry disruptors to build the digital backbone of tomorrow.
Our team operates at the intersection of physics, computer science, and material engineering, pushing the limits of what's possible in quantum coherence, error correction, and distributed quantum networks. If you're passionate about solving problems that haven't been solved yet and contributing to technologies that will shape the next decade, this is your moment.
Responsibilities
- Design and deploy scalable quantum computing hardware architectures with sub-100 nanosecond gate fidelity
- Develop quantum error correction protocols for fault-tolerant quantum processors
- Implement cryogenic control systems maintaining temperatures below 10mK
- Optimize quantum networking protocols for metropolitan-scale quantum internet
- Lead integration of photonic and superconducting quantum subsystems
- Architect hybrid quantum-classical computing frameworks for enterprise applications
- Conduct quantum benchmarking and performance analysis using cutting-edge metrology tools
- Collaborate with AI teams to develop quantum machine learning acceleration modules
Qualifications
- PhD in Quantum Physics, Computer Engineering, or related field with 5+ years industry experience
- Expertise in quantum circuit design and quantum algorithm implementation
- Proficiency in cryogenic engineering and ultra-low-noise electronic systems
- Deep understanding of quantum error correction codes (surface, LDPC, etc.)
- Experience with quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Published research in peer-reviewed quantum computing or condensed matter physics journals
- Strong background in high-performance computing architectures and parallel processing
- Ability to work with cross-functional teams across physics, engineering, and AI domains