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NETGEAR

Software Engineer

NETGEAR

. Design, develop, and implement AI-related features for NETGEAR's ProAV product portfolio.

Posted 4/21/2026full-timeSan Jose • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Design, develop, and implement AI-related features for NETGEAR's ProAV product portfolio.
  • Work closely with product management, software development, QA, and platform teams to define and deliver AI-enhanced product capabilities.
  • Build and integrate solutions using LLMs, Retrieval-Augmented Generation (RAG), AI agents, prompt workflows, model inference pipelines, or related AI technologies.
  • Translate product requirements and customer use cases into practical AI-driven features and workflows.
  • Develop backend services, APIs, and system components needed to support AI capabilities in production environments.
  • Evaluate and optimize AI feature performance, quality, latency, and reliability for real-world deployment.
  • Design validation methods, benchmarks, and metrics for AI-enabled product features.
  • Collaborate with engineering teams to integrate AI solutions into existing software architecture, automation frameworks, and CI/CD pipelines.
  • Support troubleshooting, debugging, and continuous improvement of AI-related product features after deployment.
  • Stay current with advancements in AI, ML, and LLM technologies and identify practical opportunities to apply them within the ProAV domain.

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Strong programming skills in Python and experience building production-quality software.
  • Strong knowledge of AI, ML, and LLM technologies and practical experience applying them in real systems.
  • Proven experience delivering real AI-related workflows, product features, or applications, not just prototypes or research work.
  • Hands-on experience with one or more of the following: LLM application development, RAG, AI agents and workflow orchestration, prompt engineering, model evaluation and optimization, vector databases and semantic search, or fine-tuning and adaptation workflows.
  • Experience developing and integrating APIs, services, or pipelines to support AI-driven applications.
  • Ability to evaluate AI output quality and define measurable success criteria for production use cases.
  • Strong problem-solving skills and the ability to work independently in a cross-functional environment.
  • Strong communication skills and the ability to learn new technologies quickly.

Benefits

Comp & perks
  • Health insurance
  • Paid time off
  • Flexible work arrangements
  • Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonAIMLLLM technologiesRAGAI agentsprompt engineeringmodel evaluationAPI developmentproduction-quality software
Soft Skills
problem-solvingcommunicationindependent workcross-functional collaborationability to learn quickly
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Software Engineering