Job Description
Join Nexus Systems at the forefront of AI evolution as we build the infrastructure that powers 2026's intelligent world. We're seeking visionary engineers to design next-generation AI systems that will transform industries and shape the future. This hybrid role offers unparalleled opportunities to work with cutting-edge technologies in an environment that values innovation and impact.
Responsibilities
- Architect scalable AI/ML infrastructure supporting terabyte-scale data pipelines
- Design quantum-resistant security frameworks for next-gen AI models
- Lead implementation of federated learning networks across global data centers
- Develop real-time inference systems for edge-to-cloud AI deployments
- Optimize neural network training on hybrid quantum-classical compute platforms
- Create MLOps pipelines for automated model lifecycle management
- Collaborate with research teams on AGI safety protocols
- Document architectural blueprints for 2026 technology roadmap
Qualifications
- 10+ years in distributed systems architecture with AI/ML specialization
- Expertise in Kubernetes, TensorFlow/PyTorch, and GPU/TPU optimization
- Proven experience with quantum computing frameworks (Qiskit, Cirq)
- Advanced knowledge of federated learning and differential privacy
- Certification in AWS/Azure/GCP with multi-region deployment expertise
- PhD in Computer Science or equivalent research background
- Published work at NeurIPS/ICML on scalable AI infrastructure
- Experience with ethical AI governance frameworks