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A10 Networks, Inc

Principal Software Engineer - AI ADC

A10 Networks, Inc

Location
Hybrid (San Jose, California)
Compensation
Up to $230k/yr
Employment
Full-time
Level
Senior Level
Posted 3 weeks ago

About the Role

A10 Networks is seeking a Principal Software Engineer to lead the architecture and development of AI Gateway components for intelligent routing of LLM and AI application traffic. This role focuses on building next-generation, AI-aware traffic management capabilities.

Skills

Application Delivery Controllers Server Load Balancing DNS GSLB AI LLM Intelligent Routing Inference-aware Load Balancing Layer-8 Contextual Decision Engines Token-aware Rate Limiting Vector Databases Model Registries ML Observability Adaptive Traffic Shaping Anomaly Detection Distributed State Management

Full job details

Principal Software Engineer - AI ADC

A10 Networks is accelerating its AIdriven innovation across the ADC and GSLB product lines. We are seeking a highly experienced Sr. Staff Engineer to be part of the development of nextgeneration AIaware 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, inferenceaware load balancing, and Layer8 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. 

Key Responsibilities 

  • Lead architecture and development of AI Gateway components for intelligent routing of LLM/AI application traffic

  • Design and implement LLMaware load balancing, incorporating semantic, token, latency, and modellevel insights into traffic decisions

  • Develop enhancements for ADC and GSLB platforms to support AI workloads, including:  

  • Tokenaware rate limiting 

  • Inference latencybased routing 

  • AI model endpoint discovery and health checks 

  • Integration with vector databases, model registries, and ML observability systems 

  • Contribute to advanced features including Layer8 contextaware routing, adaptive traffic shaping, and AIdriven anomaly detection

  • Drive systemwide 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 multinode deployments

AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

Targeted compensation guideline:  Up to 230K OTE. Compensation will vary based on number of factors, including market demand for specific skills, role type, job level, and individual qualifications. Final salary offers are determined by considerations including, but not limited to, subject matter expertise, demonstrated skill level, relevant experience, geographic location, education, certifications, and training.

A10 Networks is an equal opportunity employer and a VEVRAA federal subcontractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. A10 also complies with all applicable state and local laws governing nondiscrimination in employment.

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