A10 Networks, Inc→
Software Engineering Intern — LLM Systems &… at A10 Networks,… · San…
InternshipOn-siteFull-timeSan Francisco Bay Area$104k–$135k/yr
Skills
gopythonsoftware engineering fundamentalsapi designllm frameworksmodel fine-tuningevaluation pipelinesprompt optimizationinference performancebackend systemsmodel integrationmodel inferenceeagerness to learnself-driven mindset
Job Description
Summary: A10 Networks, Inc is seeking a Software Engineering Intern passionate about building systems for Large Language Models (LLMs). The intern will design and implement backend components and APIs that connect models to applications, contributing to high-impact projects in AI.
Responsibilities:
- Design and implement backend components to support LLM inference and evaluation
- Integrate model endpoints into APIs and services powering real-world applications
- Contribute to tooling for fine-tuning, model orchestration, and inference optimization
- Build monitoring and analytics layers to track model responses, latency, and reliability
- Collaborate with ML engineers on serving pipelines, prompt evaluation, and guardrail logic
- Prototype and ship features that connect models to production-grade systems
Required Qualifications:
- Currently enrolled in a Bachelor's, Master's, or PhD program in Computer Engineering or a related field in the U.S. for the full duration of the internship
- Graduation expected between December 2026 – June 2027
- Available for 12 weeks between May–August 2026 or June–September 2026
Preferred Qualifications:
- Proficiency in Go and/or Python
- Strong understanding of software engineering fundamentals and API design
- Exposure to LLM frameworks such as Hugging Face, vLLM, or OpenAI API
- Interest in model fine-tuning, evaluation pipelines, and prompt optimization
- Familiarity with inference performance concepts such as token throughput, latency, and caching
- Curiosity about how backend systems bring AI models to life from request to response
- Self-driven mindset and eagerness to learn across AI and systems boundaries
Required Skills: Go, Python, Software engineering fundamentals, API design, LLM frameworks, Model fine-tuning, Evaluation pipelines, Prompt optimization, Inference performance, Backend systems, Model integration, Model inference, Eagerness to learn, Self-driven mindset