Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the quantum computing revolution. We seek a visionary Quantum Infrastructure Engineer to design, deploy, and maintain next-generation quantum systems that will redefine computational boundaries. This role offers the rare opportunity to shape the digital landscape of 2026 and beyond, working with cutting-edge hardware and collaborating with Nobel-caliber researchers in our state-of-the-art San Francisco lab.
Our team operates at the intersection of physics, computer science, and material engineering to overcome quantum decoherence challenges and build scalable fault-tolerant systems. You'll lead the integration of cryogenic control systems, develop quantum-classical hybrid workflows, and contribute to open-source quantum frameworks that will power tomorrow's breakthrough innovations.
Responsibilities
- Architect and implement quantum control hardware solutions including cryogenic systems and microwave electronics
- Develop quantum error correction protocols and fault-tolerant computing frameworks
- Design hybrid quantum-classical workflows for enterprise applications
- Optimize quantum algorithm performance on real hardware
- Collaborate with research teams to translate theoretical models into deployable systems
- Lead cross-functional projects integrating quantum processors with classical HPC infrastructure
- Document quantum system specifications and contribute to open-source quantum SDKs
Qualifications
- PhD in Quantum Physics, Computer Engineering, or related field (MS with exceptional experience considered)
- 3+ years hands-on experience with quantum hardware or cryogenic systems
- Expertise in quantum error correction and fault-tolerant architectures
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in low-latency control systems and microwave engineering
- Published research in quantum computing or related peer-reviewed journals
- Experience with high-performance computing and parallel processing
- Knowledge of quantum materials science and superconducting qubit technologies