Job Description
Join NeuroSync Technologies at the forefront of quantum computing revolution. We're seeking a visionary Quantum Infrastructure Engineer to design and deploy next-generation quantum systems that will redefine computational boundaries. This role offers the rare opportunity to shape the technological landscape of 2026 and beyond in our state-of-the-art Austin research facility.
You'll collaborate with Nobel laureates and industry pioneers to build fault-tolerant quantum networks, develop cryogenic control systems, and pioneer error-correction protocols. NeuroSync offers competitive equity packages, unlimited learning stipends, and the chance to work on projects that could solve previously unsolvable problems in cryptography, drug discovery, and materials science.
Responsibilities
- Architect scalable quantum computing hardware ecosystems integrating cryogenics, photonics, and classical control systems
- Implement quantum error correction protocols achieving >99.9% fidelity thresholds
- Design hybrid quantum-classical workflows for enterprise-level optimization problems
- Lead R&D initiatives in topological qubit stabilization and entanglement distribution
- Develop quantum-safe security frameworks for critical infrastructure
- Mentor cross-functional teams in quantum algorithm implementation
- Drive innovation in quantum machine learning model architectures
Qualifications
- PhD in Quantum Physics, Electrical Engineering, or related field with 5+ years industry experience
- Expertise in superconducting qubit manipulation and cryogenic system design
- Proficiency in quantum programming languages (Q#, Quil, Cirq) and circuit optimization
- Published research in Nature/Science journals on quantum error correction or topological computing
- Deep understanding of quantum decoherence mechanisms and mitigation strategies
- Experience with FPGA-based quantum control systems and real-time processing
- Strong background in quantum cryptography and post-quantum security protocols
- Track record of translating theoretical quantum models into deployable hardware solutions