Job Description
Shape the technological landscape of 2026 as Nexus Systems' AI Infrastructure Architect. Join our elite team pioneering next-gen cloud-native AI ecosystems that will power the next decade of innovation. This pivotal role demands strategic vision and hands-on expertise in building resilient, scalable AI infrastructure capable of handling quantum computing integration, edge-to-cloud orchestration, and autonomous system deployments.
At Nexus, we're not just preparing for the future—we're actively creating it. You'll collaborate with Nobel laureates, patent pending technologies, and cross-disciplinary teams to architect solutions that will redefine industries. Our Austin hub offers unparalleled resources, including access to our quantum-entangled computing lab and dedicated innovation budget for experimental projects.
We offer competitive compensation, equity packages, flexible work arrangements, and continuous learning opportunities. Join us in building the intelligent infrastructure that will power 2026 and beyond.
Responsibilities
- Design and implement cloud-native AI infrastructure supporting quantum-classical hybrid computing models
- Architect edge-to-cloud pipelines for real-time AI inference at petabyte scale
- Develop autonomous infrastructure management systems using reinforcement learning
- Create security frameworks for distributed AI systems with zero-trust architecture
- Lead cross-functional teams in deploying next-gen AI/ML pipelines
- Research and integrate emerging technologies including neuromorphic computing and photonic processors
- Document infrastructure blueprints and contribute to open-source AI infrastructure projects
Qualifications
- PhD in Computer Science, AI, or Quantum Engineering with 5+ years industry experience
- Expertise in Kubernetes, Terraform, and distributed systems architecture
- Proven experience with quantum computing APIs (Qiskit, Cirq, or Braket)
- Published research in AI infrastructure, quantum machine learning, or edge computing
- Deep understanding of federated learning and differential privacy techniques
- Proficiency in low-latency network optimization for distributed AI workloads
- Certifications in AWS/Azure/GCP with specialized AI/ML tracks
- Experience leading infrastructure teams in high-growth tech environments