Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Systems Engineer, you'll architect next-gen hybrid intelligence platforms in our Austin innovation hub. Collaborate with Nobel laureates and disrupt traditional paradigms while shaping humanity's digital future. This role offers unparalleled growth in emerging tech with equity, cutting-edge resources, and the freedom to innovate without bureaucratic constraints.
Responsibilities
- Design and deploy quantum-AI hybrid algorithms for real-time data processing
- Lead integration of quantum computing modules with machine learning frameworks
- Develop fault-tolerant neural networks operating in quantum superposition states
- Optimize quantum decoherence mitigation protocols for AI training pipelines
- Architect secure multi-party quantum computing architectures
- Research novel quantum machine learning models for 2026-era applications
- Mentor junior engineers in quantum-AI convergence methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 5+ years implementing quantum algorithms in production environments
- Expertise in Qiskit, Cirq, or PennyLane frameworks
- Published research in Nature/Science journals on quantum machine learning
- Proficiency with TensorFlow Quantum or equivalent hybrid AI-quantum tools
- Experience with D-Wave or IBM quantum hardware integration
- Strong background in topological quantum error correction
- Fluency in Python/C++ with quantum computing libraries