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A10 Networks is seeking a Sr. Staff Engineer with AI ADC expertise to drive architecture of AI Gateway and AI-aware traffic management for high-scale applications. You will own design, prototyping, and cross-team alignment.
You will mentor engineers, collaborate with product management and AI strategy groups, and guide performance, benchmarking, and scaling for global deployments.
Principal Software Engineer - AI ADC
A10 Networks is accelerating its AI‑ driven innovation across the ADC and GSLB product lines. We are seeking a highly experienced Sr. Staff Engineer to be part of the development of next‑generation AI‑aware traffic management and AI Gateway capabilities.
This role combines deep domain expertise in Application Delivery Controllers (ADC), Server Load Balancing (SLB), DNS/GSLB, with practical experience in AI/LLM systems, to build intelligent routing, inference‑aware load balancing, and Layer‑8 contextual decision engines for AI workloads.
The ideal candidate is a senior staff engineer who can drive architecture, design, prototyping, and execution—working closely with product management, platform teams, and AI strategy groups.
Lead architecture and development of AI Gateway components for intelligent routing of LLM/AI application traffic
Design and implement LLM‑aware load balancing, incorporating semantic, token, latency, and model‑level insights into traffic decisions
Develop enhancements for ADC and GSLB platforms to support AI workloads, including:
Token‑aware rate limiting
Inference latency‑based routing
AI model endpoint discovery and health checks
Integration with vector databases, model registries, and ML observability systems
Contribute to advanced features including Layer‑8 context‑aware routing, adaptive traffic shaping, and AI‑driven anomaly detection
Drive system‑wide architecture: data plane, control plane, configuration, and distributed state management
Mentor engineering teams on AI workload behaviors, traffic characteristics, and tuning strategies
Collaborate with AI research and platform teams to align architectural decisions with product roadmap.
Create guidance on performance optimization, benchmarking, and scaling for global multi‑node deployments