A10 Networks, Inc

About the Company

A10 Networks provides security and infrastructure solutions for on-premises, hybrid cloud, and edge-cloud environments. Our 7000+ customers span global large enterprises and communications, cloud and web service providers who must ensure business-critical applications and networks are secure, available, and efficient. Founded in 2004, A10 Networks is based in San Jose, Calif. and serves customers globally. For more information, visit A10networks.com.

Listed Jobs

Company Name

A10 Networks, Inc

Job Title

Deep Learning Intern — LLM Research & Model Safety

Job Description

Job Title: Deep Learning Intern — LLM Research & Model Safety Role Summary: Conduct research to enhance Safety, Interpretability, and Alignment of Large Language Models (LLMs) and multimodal extensions. Work on fine‑tuning, evaluation, and adversarial testing to build robust, trustworthy AI systems. Expectations: 12‑week, full‑time internship; must be a current undergraduate, graduate, or PhD student in Computer Engineering or related field, graduating Dec 2026–June 2027; available May–Aug 2026 or Jun–Sep 2026. Key Responsibilities: * Design and prototype methods for improving LLM safety and interpretability. * Fine‑tune pre‑trained LLMs on curated datasets for task adaptation and behavioral control. * Develop evaluation frameworks to measure robustness, alignment, and harmful output rates. * Perform adversarial and red‑team experiments to expose model vulnerabilities. * Collaborate with engineering teams to integrate findings into production inference pipelines. * Experiment with Vision‑Language Models (VLMs) and audio‑based multimodal architectures. * Keep abreast of latest research in model alignment, parameter‑efficient tuning, and safety benchmarks. Required Skills: * Strong programming in Python; experience with PyTorch or TensorFlow. * Knowledge of transformer architectures, attention mechanisms, and scaling laws. * Familiarity with LLM fine‑tuning techniques (e.g., LoRA/QLoRA, instruction‑tuning). * Experience with evaluation datasets and safety benchmarks (HELM, TruthfulQA, JailbreakBench). * Ability to implement research concepts into working prototypes efficiently. * Interest in AI safety, interpretability, or bias detection. Required Education & Certifications: * Enrolled in a Bachelor’s, Master’s, or PhD program in Computer Engineering, Computer Science, or related field. * Graduation expected between December 2026 and June 2027.

San francisco bay, United states

Hybrid

Fresher

11-12-2025

Company Name

A10 Networks, Inc

Job Title

Software Engineering Intern — LLM Systems & Applied AI Engineering

Job Description

Job Title: Software Engineering Intern – LLM Systems & Applied AI Engineering Role Summary: Internship focused on designing and implementing high‑performance backend systems that enable large language model (LLM) inference, evaluation, fine‑tuning, and monitoring at scale. Work across Go, Python, and C++ to build APIs, orchestration pipelines, and analytics tools for real‑world AI applications. Expectations: - Enrolled in B.S., M.S., or Ph.D. in Computer Engineering, Computer Science, or related field in the U.S. - Graduation projected Dec 2026 – Jun 2027. - Availability for a 12‑week full‑time period between May–Aug 2026 or Jun–Sep 2026. Key Responsibilities: - Design and implement backend components for LLM inference and evaluation. - Develop and integrate model endpoints into APIs and production services. - Create tooling for fine‑tuning, model orchestration, and inference optimization. - Build monitoring and analytics layers to track latency, reliability, and usage metrics. - Collaborate with ML engineers on serving pipelines, prompt evaluation, and guardrails. - Prototype and ship features connecting models to production‑grade systems. Required Skills: - Proficiency in Go and/or Python. - Strong software engineering fundamentals and API design experience. - Familiarity with LLM frameworks (Hugging Face, vLLM, OpenAI API, etc.). - Understanding of inference metrics: token throughput, latency, caching. - Knowledge of model fine‑tuning, evaluation pipelines, and prompt optimization. - Ability to work in a fast‑paced, cross‑functional team. Required Education & Certifications: - Current enrollment in a Bachelor's, Master's, or Ph.D. program in Computer Engineering, Computer Science, or equivalent. - No specific certifications required.

San francisco bay, United states

Hybrid

Fresher

11-12-2025